Microsoft Corporation Surface Pro 8
Geekbench AI Score
3486
Single Precision Score
3941
Half Precision Score
7544
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tatianyi |
| Upload Date | April 23 2025 05:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Microsoft Corporation Surface Pro 8 |
| Motherboard | Microsoft Corporation Surface Pro 8 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2178
405.0 IPS |
|
|
Image Classification (HP)
|
100% |
3033
564.1 IPS |
|
|
Image Classification (Q)
|
99% |
4230
789.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3230
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5368
87.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7556
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7373
8.60 IPS |
|
|
Pose Estimation (HP)
|
99% |
5434
6.34 IPS |
|
|
Pose Estimation (Q)
|
97% |
25218
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2111
167.5 IPS |
|
|
Object Detection (HP)
|
100% |
3149
249.8 IPS |
|
|
Object Detection (Q)
|
90% |
4719
377.3 IPS |
|
|
Face Detection (SP)
|
100% |
5567
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
8996
106.9 IPS |
|
|
Face Detection (Q)
|
100% |
14139
168.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7401
57.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11944
92.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
16245
126.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18682
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
4619
5.94 IPS |
|
|
Style Transfer (Q)
|
98% |
53476
69.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3055
112.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4538
167.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8928
330.6 IPS |
|
|
Text Classification (SP)
|
71% |
903
1.31 KIPS |
|
|
Text Classification (HP)
|
71% |
1044
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
1045
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1371
23.6 IPS |
