ASRock B760M Pro RS
Geekbench AI Score
27053
Single Precision Score
41138
Half Precision Score
20376
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 01:48 AM |
| Views | 2 |
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% |
10416
1.94 KIPS |
|
|
Image Classification (HP)
|
99% |
16327
3.05 KIPS |
|
|
Image Classification (Q)
|
100% |
9355
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19729
319.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26087
422.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17578
285.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
149166
174.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
342734
399.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
129468
151.7 IPS |
|
|
Object Detection (SP)
|
100% |
13159
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
20985
1.66 KIPS |
|
|
Object Detection (Q)
|
85% |
11115
894.8 IPS |
|
|
Face Detection (SP)
|
100% |
35316
419.6 IPS |
|
|
Face Detection (HP)
|
100% |
51290
609.4 IPS |
|
|
Face Detection (Q)
|
97% |
30941
369.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
63489
489.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109361
842.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
49596
396.0 IPS |
|
|
Style Transfer (SP)
|
100% |
262451
337.4 IPS |
|
|
Style Transfer (HP)
|
100% |
565749
727.3 IPS |
|
|
Style Transfer (Q)
|
98% |
227645
293.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46159
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56953
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31487
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3638
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
4525
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2186
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5268
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5542
95.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2169
40.7 IPS |
