Microsoft Corporation Surface Pro 9
Geekbench AI Score
4188
Single Precision Score
5490
Half Precision Score
8385
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 27 2024 05:14 PM |
| 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 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 9 |
| Motherboard | Microsoft Corporation Surface Pro 9 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2481
461.4 IPS |
|
|
Image Classification (HP)
|
100% |
3505
651.9 IPS |
|
|
Image Classification (Q)
|
99% |
5273
983.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3817
61.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5977
96.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8359
135.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9591
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7031
8.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
28980
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
3307
262.3 IPS |
|
|
Object Detection (Q)
|
90% |
4781
382.2 IPS |
|
|
Face Detection (SP)
|
100% |
6577
78.2 IPS |
|
|
Face Detection (HP)
|
100% |
9987
118.7 IPS |
|
|
Face Detection (Q)
|
100% |
14509
172.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8986
69.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13823
106.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
17448
135.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24253
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34804
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
63569
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3869
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5919
218.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9840
364.4 IPS |
|
|
Text Classification (SP)
|
71% |
1127
1.63 KIPS |
|
|
Text Classification (HP)
|
71% |
1243
1.80 KIPS |
|
|
Text Classification (Q)
|
92% |
1220
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1446
24.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1457
25.1 IPS |
