Generic
Geekbench AI Score
1001
Single Precision Score
1166
Half Precision Score
821
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | February 03 2025 03:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B460M Pro4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
442
82.1 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
100% |
421
78.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
600
9.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
522
8.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
2392
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3805
4.44 IPS |
|
|
Pose Estimation (Q)
|
97% |
2201
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.6 IPS |
|
|
Object Detection (HP)
|
98% |
508
40.4 IPS |
|
|
Object Detection (Q)
|
86% |
463
37.2 IPS |
|
|
Face Detection (SP)
|
100% |
984
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1133
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
871
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1805
13.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2226
17.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1561
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6123
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
9113
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
5339
6.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1223
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
956
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
509
679.1 IPS |
|
|
Text Classification (HP)
|
100% |
327
437.0 IPS |
|
|
Text Classification (Q)
|
97% |
305
408.4 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (Q)
|
70% |
296
5.56 IPS |
