Microsoft Corporation Surface Book 3
Geekbench AI Score
1810
Single Precision Score
2651
Half Precision Score
2517
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Plus Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Microsoft Corporation Surface Book 3 |
| Motherboard | Microsoft Corporation Surface Book 3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (HP)
|
100% |
2088
388.4 IPS |
|
|
Image Classification (Q)
|
100% |
1668
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3283
53.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2954
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3204
3.74 IPS |
|
|
Pose Estimation (HP)
|
99% |
3068
3.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
6054
7.09 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (HP)
|
99% |
1644
130.8 IPS |
|
|
Object Detection (Q)
|
88% |
1497
120.1 IPS |
|
|
Face Detection (SP)
|
100% |
3427
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
5667
67.3 IPS |
|
|
Face Detection (Q)
|
97% |
5019
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3488
26.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5480
42.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
4811
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7674
9.87 IPS |
|
|
Style Transfer (HP)
|
100% |
14363
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
13307
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2717
100.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2582
95.6 IPS |
|
|
Text Classification (SP)
|
71% |
445
643.5 IPS |
|
|
Text Classification (HP)
|
71% |
539
779.5 IPS |
|
|
Text Classification (Q)
|
92% |
372
499.7 IPS |
|
|
Machine Translation (SP)
|
100% |
566
9.74 IPS |
|
|
Machine Translation (HP)
|
97% |
760
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
741
12.8 IPS |
