Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX
Geekbench AI Score
6370
Single Precision Score
6399
Half Precision Score
4686
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | engi75 |
| Upload Date | December 26 2024 04:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 6GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1418
263.7 IPS |
|
|
Image Classification (HP)
|
100% |
2665
495.6 IPS |
|
|
Image Classification (Q)
|
99% |
1294
241.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4072
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3750
60.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3350
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
40620
47.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21815
25.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32058
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
2023
160.5 IPS |
|
|
Object Detection (HP)
|
100% |
3305
262.1 IPS |
|
|
Object Detection (Q)
|
83% |
1797
145.2 IPS |
|
|
Face Detection (SP)
|
100% |
4024
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
6156
73.1 IPS |
|
|
Face Detection (Q)
|
97% |
3567
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13119
101.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12101
93.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10247
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
65945
84.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39615
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
50455
65.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12770
471.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9234
341.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8036
297.6 IPS |
|
|
Text Classification (SP)
|
100% |
1654
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (Q)
|
97% |
991
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3154
54.3 IPS |
|
|
Machine Translation (HP)
|
96% |
3048
52.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1394
26.1 IPS |
