Gigabyte Technology Co., Ltd. B650 EAGLE AX
Geekbench AI Score
7714
Single Precision Score
7739
Half Precision Score
19724
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tragazzini |
| Upload Date | August 11 2025 11:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 EAGLE AX |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4529
842.3 IPS |
|
|
Image Classification (HP)
|
100% |
4582
852.2 IPS |
|
|
Image Classification (Q)
|
100% |
12127
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5751
93.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5740
93.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15675
254.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10980
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11018
12.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
43446
50.9 IPS |
|
|
Object Detection (SP)
|
100% |
4707
373.4 IPS |
|
|
Object Detection (HP)
|
100% |
4630
367.3 IPS |
|
|
Object Detection (Q)
|
88% |
12672
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
12609
149.8 IPS |
|
|
Face Detection (HP)
|
100% |
12531
148.9 IPS |
|
|
Face Detection (Q)
|
100% |
33526
398.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12244
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12062
92.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
34839
271.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28986
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29486
37.9 IPS |
|
|
Style Transfer (Q)
|
98% |
108151
139.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6260
231.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6409
236.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19293
714.5 IPS |
|
|
Text Classification (SP)
|
100% |
3453
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (Q)
|
92% |
4793
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5734
98.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5767
99.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7290
125.6 IPS |
