ASRock B660M Pro RS
Geekbench AI Score
26062
Single Precision Score
38547
Half Precision Score
20292
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | eclipse10000 |
| Upload Date | August 16 2024 02:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B660M Pro RS |
| Motherboard | ASRock B660M Pro RS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11024
2.05 KIPS |
|
|
Image Classification (HP)
|
99% |
15988
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
9514
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16979
275.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21112
342.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15740
255.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
168291
196.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
394072
459.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
151411
177.3 IPS |
|
|
Object Detection (SP)
|
100% |
12753
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
19724
1.56 KIPS |
|
|
Object Detection (Q)
|
89% |
11111
889.4 IPS |
|
|
Face Detection (SP)
|
100% |
31722
376.9 IPS |
|
|
Face Detection (HP)
|
100% |
42974
510.6 IPS |
|
|
Face Detection (Q)
|
97% |
26651
317.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
60776
468.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103571
797.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
47853
387.8 IPS |
|
|
Style Transfer (SP)
|
100% |
299025
384.4 IPS |
|
|
Style Transfer (HP)
|
100% |
675013
867.7 IPS |
|
|
Style Transfer (Q)
|
98% |
266844
344.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46850
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57990
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34271
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
4108
5.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2121
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1900
42.4 IPS |
