Gigabyte Technology Co., Ltd. B650 EAGLE AX
Geekbench AI Score
45410
Single Precision Score
66892
Half Precision Score
33723
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 11 2025 03:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17297
3.22 KIPS |
|
|
Image Classification (HP)
|
100% |
22347
4.16 KIPS |
|
|
Image Classification (Q)
|
100% |
14845
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27950
453.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
34159
553.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
27021
439.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
395637
461.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
893502
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
312219
365.7 IPS |
|
|
Object Detection (SP)
|
100% |
23916
1.90 KIPS |
|
|
Object Detection (HP)
|
100% |
31168
2.47 KIPS |
|
|
Object Detection (Q)
|
85% |
19753
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
66752
793.2 IPS |
|
|
Face Detection (HP)
|
100% |
87088
1.03 KIPS |
|
|
Face Detection (Q)
|
97% |
54075
644.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
106902
823.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
190941
1.47 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76305
611.2 IPS |
|
|
Style Transfer (SP)
|
100% |
592834
762.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1619138
2.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
497416
641.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71818
2.65 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95767
3.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51998
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
4396
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5359
7.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2521
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6103
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6107
105.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2858
53.6 IPS |
