Microsoft Corporation Surface Pro for Business 11th Edition with Intel
Geekbench AI Score
2350
Single Precision Score
1215
Half Precision Score
4747
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | parkpc |
| Upload Date | April 01 2025 12:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Microsoft Corporation Surface Pro for Business 11th Edition with Intel |
| Motherboard | Microsoft Corporation Surface Pro for Business 11th Edition with Intel |
| 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% |
1641
305.2 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.1 IPS |
|
|
Image Classification (Q)
|
99% |
3873
722.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2335
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2900
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2482
2.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
11373
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
86% |
3799
305.3 IPS |
|
|
Face Detection (SP)
|
100% |
4720
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
1542
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
6810
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4268
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1814
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9862
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7537
9.69 IPS |
|
|
Style Transfer (HP)
|
100% |
6197
7.97 IPS |
|
|
Style Transfer (Q)
|
98% |
16023
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1317
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3387
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
1174
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
653
871.9 IPS |
|
|
Text Classification (Q)
|
97% |
1506
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2714
54.5 IPS |
