Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
Geekbench AI Score
7317
Single Precision Score
2738
Half Precision Score
12951
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | fang1121cs |
| Upload Date | December 20 2024 02:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5257
977.6 IPS |
|
|
Image Classification (HP)
|
100% |
870
161.9 IPS |
|
|
Image Classification (Q)
|
99% |
12703
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5219
84.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17234
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16495
19.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
76346
89.5 IPS |
|
|
Object Detection (SP)
|
100% |
5353
424.6 IPS |
|
|
Object Detection (HP)
|
100% |
1092
86.6 IPS |
|
|
Object Detection (Q)
|
86% |
14046
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
10067
119.6 IPS |
|
|
Face Detection (HP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
15456
184.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16400
126.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4180
32.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
31353
250.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44116
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28617
36.8 IPS |
|
|
Style Transfer (Q)
|
98% |
56433
72.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4534
167.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3603
133.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6353
235.2 IPS |
|
|
Text Classification (SP)
|
100% |
2414
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1995
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3944
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5388
108.3 IPS |
