ASRock B760M-STX
Geekbench AI Score
2164
Single Precision Score
1196
Half Precision Score
5137
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | anyway1102 |
| Upload Date | February 06 2025 02:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B760M-STX |
| Motherboard | ASRock B760M-STX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
99% |
4183
780.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2468
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3138
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2727
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
14512
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.0 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
86% |
4482
360.2 IPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
6817
81.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3964
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1677
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11185
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7642
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
6501
8.36 IPS |
|
|
Style Transfer (Q)
|
98% |
15446
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1284
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3568
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1631
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2785
56.0 IPS |
