ASRock B760M Pro RS
Geekbench AI Score
26966
Single Precision Score
41090
Half Precision Score
20293
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 12:57 PM |
| 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% |
10327
1.92 KIPS |
|
|
Image Classification (HP)
|
99% |
16526
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
9133
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19780
320.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26122
423.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17737
288.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
142581
166.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
344467
401.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
126588
148.3 IPS |
|
|
Object Detection (SP)
|
100% |
13111
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
20839
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
11111
894.5 IPS |
|
|
Face Detection (SP)
|
100% |
35780
425.1 IPS |
|
|
Face Detection (HP)
|
100% |
51108
607.3 IPS |
|
|
Face Detection (Q)
|
97% |
29048
346.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
63077
486.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
107533
828.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
50979
407.1 IPS |
|
|
Style Transfer (SP)
|
100% |
261833
336.6 IPS |
|
|
Style Transfer (HP)
|
100% |
567872
730.0 IPS |
|
|
Style Transfer (Q)
|
98% |
224336
289.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45624
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57154
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30236
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3629
4.84 KIPS |
|
|
Text Classification (HP)
|
99% |
4528
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2216
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5443
93.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5483
94.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2336
43.8 IPS |
