Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
4284
Single Precision Score
1935
Half Precision Score
9253
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | zlocorp |
| Upload Date | March 16 2026 08:46 AM |
| Views | 9 |
| Notes | F37 PBO 70 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3503
651.5 IPS |
|
|
Image Classification (HP)
|
100% |
728
135.5 IPS |
|
|
Image Classification (Q)
|
99% |
8176
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9110
148.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5692
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4810
5.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
22910
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
3009
238.7 IPS |
|
|
Object Detection (HP)
|
100% |
918
72.8 IPS |
|
|
Object Detection (Q)
|
86% |
8291
666.3 IPS |
|
|
Face Detection (SP)
|
100% |
7146
84.9 IPS |
|
|
Face Detection (HP)
|
100% |
2187
26.0 IPS |
|
|
Face Detection (Q)
|
97% |
10554
125.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8096
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2641
20.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17500
139.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14326
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12159
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27537
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2887
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2338
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5992
221.9 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1159
1.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1993
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3089
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5355
107.6 IPS |
