ASRock H670 PG Riptide
Geekbench AI Score
20834
Single Precision Score
34972
Half Precision Score
37913
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 26 2025 02:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| 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% |
10705
1.99 KIPS |
|
|
Image Classification (HP)
|
100% |
15129
2.81 KIPS |
|
|
Image Classification (Q)
|
100% |
16271
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16850
273.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21267
344.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21817
353.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
82443
96.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
308796
360.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
519522
608.2 IPS |
|
|
Object Detection (SP)
|
100% |
9494
753.1 IPS |
|
|
Object Detection (HP)
|
100% |
16332
1.30 KIPS |
|
|
Object Detection (Q)
|
88% |
17120
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
29955
355.9 IPS |
|
|
Face Detection (HP)
|
100% |
41371
491.6 IPS |
|
|
Face Detection (Q)
|
100% |
43216
513.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
58390
449.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
113514
874.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
131539
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
187048
240.5 IPS |
|
|
Style Transfer (HP)
|
100% |
503716
647.5 IPS |
|
|
Style Transfer (Q)
|
98% |
549458
708.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29528
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61505
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60718
2.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (Q)
|
92% |
3040
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3161
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3393
58.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3371
58.1 IPS |
