Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX
Geekbench AI Score
1997
Single Precision Score
2129
Half Precision Score
1641
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xiaoqiu |
| Upload Date | February 13 2025 02:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
667
124.1 IPS |
|
|
Image Classification (HP)
|
100% |
653
121.4 IPS |
|
|
Image Classification (Q)
|
100% |
673
125.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1169
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6719
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
11044
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
6037
7.07 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.2 IPS |
|
|
Object Detection (HP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (Q)
|
87% |
692
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
2303
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
2274
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
2132
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3881
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4616
35.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3402
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11370
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16398
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10016
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2761
101.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2114
78.3 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.9 IPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
519
695.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (Q)
|
70% |
619
11.6 IPS |
