Generic
Geekbench AI Score
924
Single Precision Score
1023
Half Precision Score
714
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 20 2026 09:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H470M-HDV/M.2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (Q)
|
100% |
385
71.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
462
7.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
2143
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3342
3.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
1909
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (HP)
|
98% |
459
36.5 IPS |
|
|
Object Detection (Q)
|
86% |
415
33.4 IPS |
|
|
Face Detection (SP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
667
7.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
1690
13.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
1962
15.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1399
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5548
7.13 IPS |
|
|
Style Transfer (HP)
|
100% |
8291
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
4609
5.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1098
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
838
31.0 IPS |
|
|
Text Classification (SP)
|
100% |
411
549.0 IPS |
|
|
Text Classification (HP)
|
100% |
272
362.5 IPS |
|
|
Text Classification (Q)
|
97% |
258
345.5 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (Q)
|
70% |
266
4.98 IPS |
