test test
Geekbench AI Score
4337
Single Precision Score
4589
Half Precision Score
2961
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 09:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (32GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | test test |
| Motherboard | test test |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2722
506.2 IPS |
|
|
Image Classification (HP)
|
100% |
2384
443.4 IPS |
|
|
Image Classification (Q)
|
99% |
1909
356.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3654
59.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4196
68.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2513
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8715
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11702
13.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
7781
9.12 IPS |
|
|
Object Detection (SP)
|
100% |
3018
239.4 IPS |
|
|
Object Detection (HP)
|
100% |
2843
225.5 IPS |
|
|
Object Detection (Q)
|
84% |
2182
176.2 IPS |
|
|
Face Detection (SP)
|
100% |
6624
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
7166
85.1 IPS |
|
|
Face Detection (Q)
|
97% |
4271
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9004
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11138
85.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6633
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23788
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32451
41.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19279
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4381
161.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5331
196.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3040
112.6 IPS |
|
|
Text Classification (SP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
624
833.2 IPS |
|
|
Text Classification (Q)
|
97% |
515
690.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1445
24.9 IPS |
|
|
Machine Translation (Q)
|
70% |
744
13.9 IPS |
