Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX
Geekbench AI Score
36596
Single Precision Score
54308
Half Precision Score
27729
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 07:03 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE 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% |
14012
2.61 KIPS |
|
|
Image Classification (HP)
|
99% |
19996
3.73 KIPS |
|
|
Image Classification (Q)
|
100% |
11965
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25658
415.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
34770
563.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
23421
380.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
258611
301.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
500158
583.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
231250
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
18323
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
26424
2.10 KIPS |
|
|
Object Detection (Q)
|
85% |
15585
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
53668
637.7 IPS |
|
|
Face Detection (HP)
|
100% |
73126
868.9 IPS |
|
|
Face Detection (Q)
|
97% |
44915
535.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
83946
646.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
153029
1.18 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63933
510.6 IPS |
|
|
Style Transfer (SP)
|
100% |
393815
506.3 IPS |
|
|
Style Transfer (HP)
|
100% |
912384
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
343850
443.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56805
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78664
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42386
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4695
6.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2258
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6529
112.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6441
110.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2816
52.8 IPS |
