ASRock B760M Pro RS
Geekbench AI Score
26642
Single Precision Score
40514
Half Precision Score
20222
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 04:04 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B760M Pro RS |
| Motherboard | ASRock B760M Pro RS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10326
1.92 KIPS |
|
|
Image Classification (HP)
|
99% |
16490
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
9139
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19675
318.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25985
421.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17671
287.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
141795
165.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
344830
402.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
130237
152.6 IPS |
|
|
Object Detection (SP)
|
100% |
12985
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
20843
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
11063
890.6 IPS |
|
|
Face Detection (SP)
|
100% |
35791
425.3 IPS |
|
|
Face Detection (HP)
|
100% |
50736
602.9 IPS |
|
|
Face Detection (Q)
|
97% |
29915
356.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
61843
476.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101846
784.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
48147
384.4 IPS |
|
|
Style Transfer (SP)
|
100% |
248341
319.2 IPS |
|
|
Style Transfer (HP)
|
100% |
557039
716.1 IPS |
|
|
Style Transfer (Q)
|
98% |
227948
293.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44205
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55910
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32276
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4474
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2169
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5381
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5373
92.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2139
40.1 IPS |
