Gigabyte Technology Co., Ltd. B650 EAGLE AX
Geekbench AI Score
10649
Single Precision Score
10661
Half Precision Score
28815
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AnimalSpec |
| Upload Date | October 11 2025 07:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-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 | Alto rendimiento |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7068
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7043
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
18093
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7251
117.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7285
118.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19214
311.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13387
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13235
15.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
54092
63.3 IPS |
|
|
Object Detection (SP)
|
100% |
6682
530.0 IPS |
|
|
Object Detection (HP)
|
100% |
6449
511.5 IPS |
|
|
Object Detection (Q)
|
88% |
19129
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
13332
158.4 IPS |
|
|
Face Detection (HP)
|
100% |
13611
161.7 IPS |
|
|
Face Detection (Q)
|
100% |
46007
546.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15986
123.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16059
123.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
48659
378.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36529
47.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36782
47.3 IPS |
|
|
Style Transfer (Q)
|
98% |
134974
174.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8479
313.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8709
321.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26891
995.9 IPS |
|
|
Text Classification (SP)
|
100% |
5916
7.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5930
7.92 KIPS |
|
|
Text Classification (Q)
|
92% |
9290
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
10480
180.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10432
179.7 IPS |
|
|
Machine Translation (Q)
|
100% |
14536
250.4 IPS |
