JGINYUE B650M GAMING
Geekbench AI Score
25097
Single Precision Score
27988
Half Precision Score
19116
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 09 2025 03:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | JGINYUE B650M GAMING |
| Motherboard | JGINYUE B650M GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11245
2.09 KIPS |
|
|
Image Classification (HP)
|
100% |
10975
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
9269
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17131
277.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13617
220.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14245
231.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
141328
164.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
222948
260.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
119493
140.0 IPS |
|
|
Object Detection (SP)
|
100% |
11986
950.8 IPS |
|
|
Object Detection (HP)
|
100% |
12477
989.7 IPS |
|
|
Object Detection (Q)
|
87% |
10045
806.7 IPS |
|
|
Face Detection (SP)
|
100% |
35737
424.6 IPS |
|
|
Face Detection (HP)
|
100% |
38124
453.0 IPS |
|
|
Face Detection (Q)
|
97% |
27749
330.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
60922
469.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
65620
505.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
46083
370.1 IPS |
|
|
Style Transfer (SP)
|
100% |
281860
362.3 IPS |
|
|
Style Transfer (HP)
|
100% |
384594
494.4 IPS |
|
|
Style Transfer (Q)
|
98% |
223412
288.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39008
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45783
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27747
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3081
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1771
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5234
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5228
90.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2930
55.0 IPS |
