Generic
Geekbench AI Score
868
Single Precision Score
989
Half Precision Score
661
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | September 09 2024 08:57 AM |
| 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 i3-10100T |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
346
64.4 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.3 IPS |
|
|
Image Classification (Q)
|
100% |
331
61.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
438
7.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
2201
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3520
4.11 IPS |
|
|
Pose Estimation (Q)
|
97% |
1977
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
98% |
426
33.9 IPS |
|
|
Object Detection (Q)
|
89% |
372
29.8 IPS |
|
|
Face Detection (SP)
|
100% |
774
9.19 IPS |
|
|
Face Detection (HP)
|
100% |
830
9.86 IPS |
|
|
Face Detection (Q)
|
97% |
594
7.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
1569
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1909
14.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
1280
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5589
7.18 IPS |
|
|
Style Transfer (HP)
|
100% |
8401
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
4664
6.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
811
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.9 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.7 IPS |
|
|
Text Classification (Q)
|
97% |
256
343.1 IPS |
|
|
Machine Translation (SP)
|
100% |
419
7.21 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (Q)
|
60% |
203
4.53 IPS |
