Gigabyte Technology Co., Ltd. B650 EAGLE AX
Geekbench AI Score
25366
Single Precision Score
40675
Half Precision Score
14943
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AnimalSpec |
| Upload Date | October 11 2025 07:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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% |
9801
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
14992
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
6479
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18339
297.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
27729
449.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12882
209.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
139498
162.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
402497
469.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
107130
125.5 IPS |
|
|
Object Detection (SP)
|
100% |
12744
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
19845
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
8480
682.1 IPS |
|
|
Face Detection (SP)
|
100% |
35205
418.3 IPS |
|
|
Face Detection (HP)
|
100% |
53129
631.3 IPS |
|
|
Face Detection (Q)
|
97% |
22814
272.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
61871
476.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110157
848.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
36532
292.7 IPS |
|
|
Style Transfer (SP)
|
100% |
255964
329.0 IPS |
|
|
Style Transfer (HP)
|
100% |
613872
789.1 IPS |
|
|
Style Transfer (Q)
|
98% |
180236
232.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38229
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50098
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20366
754.1 IPS |
|
|
Text Classification (SP)
|
100% |
3134
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1465
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5169
89.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5123
88.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1634
30.6 IPS |
