Gigabyte Technology Co., Ltd. B650 EAGLE AX
Geekbench AI Score
5949
Single Precision Score
5931
Half Precision Score
15580
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | spotlite |
| Upload Date | December 05 2024 09:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 EAGLE AX |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3799
706.5 IPS |
|
|
Image Classification (HP)
|
100% |
3794
705.6 IPS |
|
|
Image Classification (Q)
|
100% |
9840
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3955
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3928
63.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9926
160.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6799
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
6852
7.99 IPS |
|
|
Pose Estimation (Q)
|
98% |
26607
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
3634
288.2 IPS |
|
|
Object Detection (HP)
|
100% |
3581
284.0 IPS |
|
|
Object Detection (Q)
|
88% |
10159
814.4 IPS |
|
|
Face Detection (SP)
|
100% |
9817
116.7 IPS |
|
|
Face Detection (HP)
|
100% |
9950
118.2 IPS |
|
|
Face Detection (Q)
|
100% |
26599
316.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9170
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9249
71.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
27421
213.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19075
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18685
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
70813
91.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4345
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4365
161.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14184
525.3 IPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (Q)
|
92% |
5838
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5766
99.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5635
97.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7468
128.6 IPS |
