Generic
Geekbench AI Score
943
Single Precision Score
1184
Half Precision Score
816
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 03:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B365M-ITX/ac |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
429
79.7 IPS |
|
|
Image Classification (HP)
|
100% |
490
91.1 IPS |
|
|
Image Classification (Q)
|
100% |
431
80.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
517
8.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
2475
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3931
4.59 IPS |
|
|
Pose Estimation (Q)
|
97% |
2237
2.62 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
98% |
533
42.4 IPS |
|
|
Object Detection (Q)
|
86% |
477
38.4 IPS |
|
|
Face Detection (SP)
|
100% |
930
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
1162
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
790
9.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
1846
14.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2276
17.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1559
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6298
8.10 IPS |
|
|
Style Transfer (HP)
|
100% |
9488
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5334
6.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1261
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
964
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
520
693.7 IPS |
|
|
Text Classification (HP)
|
100% |
325
434.0 IPS |
|
|
Text Classification (Q)
|
97% |
300
401.5 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (Q)
|
70% |
291
5.46 IPS |
