Gigabyte Technology Co., Ltd. B650 EAGLE AX
Geekbench AI Score
45226
Single Precision Score
65844
Half Precision Score
33692
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paq85 |
| Upload Date | March 18 2025 09:04 PM |
| Views | 15 |
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 | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15694
2.92 KIPS |
|
|
Image Classification (HP)
|
100% |
19768
3.68 KIPS |
|
|
Image Classification (Q)
|
100% |
13513
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33473
542.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
41855
678.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
31463
511.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
398375
464.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
903915
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
313539
367.3 IPS |
|
|
Object Detection (SP)
|
100% |
23114
1.83 KIPS |
|
|
Object Detection (HP)
|
100% |
29635
2.35 KIPS |
|
|
Object Detection (Q)
|
85% |
19023
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
71240
846.5 IPS |
|
|
Face Detection (HP)
|
100% |
93924
1.12 KIPS |
|
|
Face Detection (Q)
|
97% |
56396
672.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
108374
835.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
185967
1.43 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77905
624.0 IPS |
|
|
Style Transfer (SP)
|
100% |
604743
777.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1638095
2.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
511393
659.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68749
2.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85858
3.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48896
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3464
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4300
5.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2247
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6657
114.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6543
112.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3011
56.5 IPS |
