Gigabyte Technology Co., Ltd. X670 GAMING X AX V2
Geekbench AI Score
31052
Single Precision Score
35832
Half Precision Score
24826
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 09 2025 02:16 AM |
| Views | 5 |
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% |
12781
2.38 KIPS |
|
|
Image Classification (HP)
|
100% |
12728
2.37 KIPS |
|
|
Image Classification (Q)
|
99% |
10294
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21259
344.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17940
290.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18871
306.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
279609
326.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
454872
530.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
244636
286.6 IPS |
|
|
Object Detection (SP)
|
100% |
14414
1.14 KIPS |
|
|
Object Detection (HP)
|
99% |
15335
1.22 KIPS |
|
|
Object Detection (Q)
|
87% |
11642
935.0 IPS |
|
|
Face Detection (SP)
|
100% |
42172
501.1 IPS |
|
|
Face Detection (HP)
|
100% |
42682
507.2 IPS |
|
|
Face Detection (Q)
|
97% |
36174
431.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
71957
554.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
84937
654.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
58607
469.7 IPS |
|
|
Style Transfer (SP)
|
100% |
425026
546.4 IPS |
|
|
Style Transfer (HP)
|
100% |
652978
839.4 IPS |
|
|
Style Transfer (Q)
|
98% |
387523
499.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46045
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59053
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38629
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
3125
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2154
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4102
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4416
76.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2352
44.1 IPS |
