Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
38659
Single Precision Score
54105
Half Precision Score
33318
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17202
3.20 KIPS |
|
|
Image Classification (HP)
|
100% |
19803
3.68 KIPS |
|
|
Image Classification (Q)
|
99% |
16128
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21317
345.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25207
408.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
28410
462.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
222681
259.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
681684
795.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
200198
234.5 IPS |
|
|
Object Detection (SP)
|
100% |
19222
1.52 KIPS |
|
|
Object Detection (HP)
|
99% |
23097
1.83 KIPS |
|
|
Object Detection (Q)
|
87% |
17664
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
59935
712.2 IPS |
|
|
Face Detection (HP)
|
100% |
72575
862.3 IPS |
|
|
Face Detection (Q)
|
97% |
52934
631.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
89528
689.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
130690
1.01 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74998
601.0 IPS |
|
|
Style Transfer (SP)
|
100% |
408814
525.5 IPS |
|
|
Style Transfer (HP)
|
100% |
758275
974.8 IPS |
|
|
Style Transfer (Q)
|
98% |
376670
485.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55372
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91740
3.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45635
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
5000
6.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5356
7.15 KIPS |
|
|
Text Classification (Q)
|
97% |
3417
4.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
7823
134.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7741
133.3 IPS |
|
|
Machine Translation (Q)
|
70% |
4462
83.7 IPS |
