ASRock H670 PG Riptide
Geekbench AI Score
20084
Single Precision Score
32088
Half Precision Score
13454
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 26 2025 02:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock H670 PG Riptide |
| Motherboard | ASRock H670 PG Riptide |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10645
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
13677
2.54 KIPS |
|
|
Image Classification (Q)
|
100% |
8354
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11962
193.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14413
233.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9676
157.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
74936
87.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
308573
360.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
61096
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
12722
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
16547
1.31 KIPS |
|
|
Object Detection (Q)
|
87% |
9966
799.9 IPS |
|
|
Face Detection (SP)
|
100% |
26010
309.1 IPS |
|
|
Face Detection (HP)
|
100% |
34293
407.5 IPS |
|
|
Face Detection (Q)
|
97% |
18195
216.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
61228
471.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100853
777.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
32220
258.2 IPS |
|
|
Style Transfer (SP)
|
100% |
190069
244.3 IPS |
|
|
Style Transfer (HP)
|
100% |
537921
691.5 IPS |
|
|
Style Transfer (Q)
|
98% |
124313
160.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30415
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55834
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16220
600.6 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3661
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1910
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3024
52.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1749
32.8 IPS |
