Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
3635
Single Precision Score
3646
Half Precision Score
1957
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | takharraz |
| Upload Date | April 09 2025 05:24 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.05 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2577
479.2 IPS |
|
|
Image Classification (HP)
|
100% |
2566
477.2 IPS |
|
|
Image Classification (Q)
|
99% |
1466
273.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3428
55.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3430
55.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1263
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4291
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4303
5.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
4146
4.86 IPS |
|
|
Object Detection (SP)
|
100% |
2091
165.9 IPS |
|
|
Object Detection (HP)
|
100% |
2103
166.8 IPS |
|
|
Object Detection (Q)
|
85% |
1306
105.1 IPS |
|
|
Face Detection (SP)
|
100% |
5647
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
5745
68.3 IPS |
|
|
Face Detection (Q)
|
97% |
3065
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4561
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4523
34.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2489
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4849
6.23 IPS |
|
|
Style Transfer (HP)
|
100% |
4856
6.24 IPS |
|
|
Style Transfer (Q)
|
98% |
7052
9.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2752
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2764
102.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1954
72.4 IPS |
|
|
Text Classification (SP)
|
100% |
2848
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2865
3.82 KIPS |
|
|
Text Classification (Q)
|
92% |
977
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5196
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5229
90.1 IPS |
|
|
Machine Translation (Q)
|
58% |
803
18.9 IPS |
