test test
Geekbench AI Score
2511
Single Precision Score
1068
Half Precision Score
4882
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 09:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| 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% |
1888
351.2 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.4 IPS |
|
|
Image Classification (Q)
|
99% |
3943
735.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1078
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6024
97.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3933
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3062
3.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
14820
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1855
147.2 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (Q)
|
86% |
4561
366.6 IPS |
|
|
Face Detection (SP)
|
100% |
5931
70.5 IPS |
|
|
Face Detection (HP)
|
100% |
1201
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
5525
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5426
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1497
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10638
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10003
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7239
9.31 IPS |
|
|
Style Transfer (Q)
|
98% |
17233
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1758
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1408
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2936
108.7 IPS |
|
|
Text Classification (SP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
448
598.6 IPS |
|
|
Text Classification (Q)
|
97% |
809
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
1995
40.1 IPS |
