Microsoft Corporation Surface Pro 8
Geekbench AI Score
2270
Single Precision Score
2278
Half Precision Score
1473
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tatianyi |
| Upload Date | April 23 2025 04:59 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1033
192.0 IPS |
|
|
Image Classification (HP)
|
100% |
1008
187.5 IPS |
|
|
Image Classification (Q)
|
100% |
870
161.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1061
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8771
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9756
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
4768
5.58 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
98% |
1031
82.1 IPS |
|
|
Object Detection (Q)
|
86% |
959
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
2298
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2737
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
1705
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4622
35.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5131
39.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3254
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19695
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24671
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
12440
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2811
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3577
132.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1204
44.6 IPS |
|
|
Text Classification (SP)
|
100% |
626
835.3 IPS |
|
|
Text Classification (HP)
|
100% |
288
384.6 IPS |
|
|
Text Classification (Q)
|
97% |
368
492.6 IPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
70% |
373
7.00 IPS |
