Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
1970
Single Precision Score
2101
Half Precision Score
1619
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 07:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
674
125.3 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.3 IPS |
|
|
Image Classification (Q)
|
100% |
671
124.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1000
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6624
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
10852
12.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
5950
6.97 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (HP)
|
100% |
674
53.4 IPS |
|
|
Object Detection (Q)
|
87% |
690
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
2192
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
2039
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3798
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4484
34.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3325
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11304
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16457
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9979
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2829
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2138
79.2 IPS |
|
|
Text Classification (SP)
|
100% |
723
964.5 IPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
507
679.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (Q)
|
70% |
616
11.6 IPS |
