Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
9892
Single Precision Score
25773
Half Precision Score
29085
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danilonc |
| Upload Date | June 27 2025 07:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Motherboard | Microsoft Corporation Surface Laptop for Business 7th Edition with Intel |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7561
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
13770
2.56 KIPS |
|
|
Image Classification (Q)
|
100% |
18280
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7995
129.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15287
247.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17143
277.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23851
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
136616
159.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
265220
310.5 IPS |
|
|
Object Detection (SP)
|
100% |
6702
531.6 IPS |
|
|
Object Detection (HP)
|
100% |
14760
1.17 KIPS |
|
|
Object Detection (Q)
|
88% |
15637
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
14048
166.9 IPS |
|
|
Face Detection (HP)
|
100% |
30695
364.7 IPS |
|
|
Face Detection (Q)
|
100% |
38804
461.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24315
187.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
63947
492.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
70496
548.2 IPS |
|
|
Style Transfer (SP)
|
100% |
54775
70.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164137
211.0 IPS |
|
|
Style Transfer (Q)
|
98% |
180872
233.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10279
379.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26639
983.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30710
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
92% |
3551
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6373
109.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6178
106.4 IPS |
