To Be Filled By O.E.M. X570M Pro4
Geekbench AI Score
2052
Single Precision Score
610
Half Precision Score
2580
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | pmjbf |
| Upload Date | January 13 2025 11:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Fedora Linux 40 (Forty) |
| Model | To Be Filled By O.E.M. X570M Pro4 |
| Motherboard | ASRock X570M Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.21 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1047
194.8 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.4 IPS |
|
|
Image Classification (Q)
|
94% |
2305
430.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
1550
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4716
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3501
4.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
4817
5.69 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
58% |
1610
175.9 IPS |
|
|
Face Detection (SP)
|
100% |
1599
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
295
3.51 IPS |
|
|
Face Detection (Q)
|
96% |
5476
65.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4455
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
881
6.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
4887
39.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10273
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8342
10.7 IPS |
|
|
Style Transfer (Q)
|
87% |
7635
9.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1707
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1337
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1586
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
365
487.5 IPS |
|
|
Text Classification (Q)
|
97% |
935
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (Q)
|
68% |
1558
30.1 IPS |
