Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench AI Score
34741
Single Precision Score
41287
Half Precision Score
27729
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 06:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15018
2.79 KIPS |
|
|
Image Classification (HP)
|
100% |
16320
3.04 KIPS |
|
|
Image Classification (Q)
|
99% |
13154
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20919
339.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19781
320.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19585
318.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
280107
326.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
484493
565.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
249591
292.4 IPS |
|
|
Object Detection (SP)
|
100% |
17625
1.40 KIPS |
|
|
Object Detection (HP)
|
99% |
18829
1.49 KIPS |
|
|
Object Detection (Q)
|
87% |
14908
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
45928
545.7 IPS |
|
|
Face Detection (HP)
|
100% |
51378
610.5 IPS |
|
|
Face Detection (Q)
|
97% |
40645
484.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
73376
565.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96468
743.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
58997
472.8 IPS |
|
|
Style Transfer (SP)
|
100% |
441795
567.9 IPS |
|
|
Style Transfer (HP)
|
100% |
686250
882.2 IPS |
|
|
Style Transfer (Q)
|
98% |
391690
505.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51705
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65514
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38493
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4496
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4448
5.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2834
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4771
82.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4931
84.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2737
51.3 IPS |
