Gigabyte Technology Co., Ltd. X670 GAMING X AX V2
Geekbench AI Score
30968
Single Precision Score
34004
Half Precision Score
24764
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 09:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 GAMING X AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. X670 GAMING X AX V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12321
2.29 KIPS |
|
|
Image Classification (HP)
|
100% |
12814
2.38 KIPS |
|
|
Image Classification (Q)
|
99% |
10111
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20691
335.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19032
308.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18636
303.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
278911
325.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
374158
436.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
244188
286.0 IPS |
|
|
Object Detection (SP)
|
100% |
13822
1.10 KIPS |
|
|
Object Detection (HP)
|
99% |
15183
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
13510
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
41890
497.7 IPS |
|
|
Face Detection (HP)
|
100% |
43363
515.2 IPS |
|
|
Face Detection (Q)
|
97% |
36191
431.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
71811
553.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
80854
622.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
57382
459.8 IPS |
|
|
Style Transfer (SP)
|
100% |
425621
547.1 IPS |
|
|
Style Transfer (HP)
|
100% |
587532
755.3 IPS |
|
|
Style Transfer (Q)
|
98% |
383949
495.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46959
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48883
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35909
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2103
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4116
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2318
43.5 IPS |
