Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
6969
Single Precision Score
3023
Half Precision Score
12412
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Katsumis |
| Upload Date | September 18 2025 12:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6026
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
1202
223.4 IPS |
|
|
Image Classification (Q)
|
99% |
12157
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1729
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13191
214.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11896
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9150
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
38306
44.9 IPS |
|
|
Object Detection (SP)
|
100% |
5733
454.7 IPS |
|
|
Object Detection (HP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (Q)
|
86% |
12445
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
10081
119.8 IPS |
|
|
Face Detection (HP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (Q)
|
97% |
13554
161.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14397
110.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4176
32.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
26848
214.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27298
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19793
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35380
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5072
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4137
152.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5026
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3355
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2573
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4071
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (Q)
|
65% |
6822
137.1 IPS |
