Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
4785
Single Precision Score
7652
Half Precision Score
11262
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 12:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 10 for Business |
| Motherboard | Microsoft Corporation Surface Pro 10 for Business |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (HP)
|
100% |
4701
874.2 IPS |
|
|
Image Classification (Q)
|
100% |
5891
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3544
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7139
115.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9282
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10325
12.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
9708
11.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30599
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
2936
232.9 IPS |
|
|
Object Detection (HP)
|
100% |
4871
386.4 IPS |
|
|
Object Detection (Q)
|
88% |
7389
592.2 IPS |
|
|
Face Detection (SP)
|
100% |
6293
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
13546
161.0 IPS |
|
|
Face Detection (Q)
|
100% |
20917
248.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9229
71.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
18732
144.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
21898
170.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26570
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35597
45.8 IPS |
|
|
Style Transfer (Q)
|
98% |
75340
97.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4648
171.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8397
310.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12954
479.8 IPS |
|
|
Text Classification (SP)
|
71% |
1533
2.22 KIPS |
|
|
Text Classification (HP)
|
71% |
2168
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
2272
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2639
45.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2616
45.1 IPS |
