Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench AI Score
6338
Single Precision Score
6379
Half Precision Score
17450
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | acnosov |
| Upload Date | March 21 2025 09:58 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4450
827.5 IPS |
|
|
Image Classification (HP)
|
100% |
4469
831.1 IPS |
|
|
Image Classification (Q)
|
100% |
11016
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9349
151.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8523
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
8471
9.88 IPS |
|
|
Pose Estimation (Q)
|
98% |
32818
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
4052
321.4 IPS |
|
|
Object Detection (HP)
|
100% |
4020
318.9 IPS |
|
|
Object Detection (Q)
|
88% |
11457
918.4 IPS |
|
|
Face Detection (SP)
|
100% |
9926
117.9 IPS |
|
|
Face Detection (HP)
|
100% |
9757
115.9 IPS |
|
|
Face Detection (Q)
|
100% |
30504
362.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11202
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11282
86.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
30769
239.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23519
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23621
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
89033
114.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5196
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5182
191.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17414
644.9 IPS |
|
|
Text Classification (SP)
|
100% |
3985
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
92% |
5897
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5934
102.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5972
102.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7879
135.7 IPS |
