Microsoft Corporation Surface Pro 8
Geekbench AI Score
4304
Single Precision Score
5468
Half Precision Score
7988
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Alfu |
| Upload Date | September 03 2024 07:47 AM |
| Views | 2 |
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 i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2675
497.5 IPS |
|
|
Image Classification (HP)
|
100% |
3530
656.4 IPS |
|
|
Image Classification (Q)
|
99% |
4450
830.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3756
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5676
92.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6157
99.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10107
11.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
7558
8.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
30381
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
2599
206.2 IPS |
|
|
Object Detection (HP)
|
100% |
3513
278.6 IPS |
|
|
Object Detection (Q)
|
90% |
4873
389.6 IPS |
|
|
Face Detection (SP)
|
100% |
7232
85.9 IPS |
|
|
Face Detection (HP)
|
100% |
11001
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
15460
183.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9797
75.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14524
112.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
18655
147.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25674
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33776
43.4 IPS |
|
|
Style Transfer (Q)
|
98% |
67353
86.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4080
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6279
231.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10475
387.9 IPS |
|
|
Text Classification (SP)
|
71% |
1025
1.48 KIPS |
|
|
Text Classification (HP)
|
71% |
1112
1.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1037
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1192
20.6 IPS |
|
|
Machine Translation (Q)
|
89% |
1236
21.5 IPS |
