Microsoft Corporation Surface Laptop for Business 7th Edition with Intel
Geekbench AI Score
9548
Single Precision Score
24953
Half Precision Score
28500
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | January 30 2026 08:39 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 5 236V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6408
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
13693
2.55 KIPS |
|
|
Image Classification (Q)
|
100% |
16799
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8173
132.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23041
373.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26946
436.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20786
24.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
111408
130.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
213587
250.1 IPS |
|
|
Object Detection (SP)
|
100% |
5555
440.6 IPS |
|
|
Object Detection (HP)
|
100% |
14125
1.12 KIPS |
|
|
Object Detection (Q)
|
88% |
15383
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
12265
145.7 IPS |
|
|
Face Detection (HP)
|
100% |
30271
359.7 IPS |
|
|
Face Detection (Q)
|
100% |
40105
476.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19234
148.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49221
379.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
57643
448.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43986
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
128300
164.9 IPS |
|
|
Style Transfer (Q)
|
98% |
146986
189.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8655
319.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28555
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32010
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3645
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5041
6.73 KIPS |
|
|
Text Classification (Q)
|
92% |
3255
4.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3184
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6851
118.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6716
115.7 IPS |
