Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
3275
Single Precision Score
1517
Half Precision Score
7431
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 09:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700F 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700F 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2519
468.4 IPS |
|
|
Image Classification (HP)
|
100% |
590
109.7 IPS |
|
|
Image Classification (Q)
|
99% |
7580
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9055
147.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4925
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3813
4.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
17179
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (Q)
|
86% |
6162
495.3 IPS |
|
|
Face Detection (SP)
|
100% |
5030
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
1602
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
10483
125.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6406
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2328
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7364
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11814
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11269
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27315
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6019
222.9 IPS |
|
|
Text Classification (SP)
|
100% |
1928
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1705
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3266
65.6 IPS |
