Gigabyte Technology Co., Ltd. B650 AORUS PRO AX
Geekbench AI Score
38491
Single Precision Score
52897
Half Precision Score
28780
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 01:25 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS PRO AX |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13944
2.59 KIPS |
|
|
Image Classification (HP)
|
99% |
18195
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11721
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23209
376.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
29463
477.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22155
360.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
316288
369.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
549978
641.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
271787
318.3 IPS |
|
|
Object Detection (SP)
|
100% |
19467
1.54 KIPS |
|
|
Object Detection (HP)
|
100% |
25462
2.02 KIPS |
|
|
Object Detection (Q)
|
89% |
16553
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
52583
624.8 IPS |
|
|
Face Detection (HP)
|
100% |
64090
761.5 IPS |
|
|
Face Detection (Q)
|
97% |
43723
521.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
96655
744.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
161619
1.25 KIPS |
|
|
Depth Estimation (Q)
|
75% |
70139
566.2 IPS |
|
|
Style Transfer (SP)
|
100% |
572544
736.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1123612
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
476661
614.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60911
2.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81248
3.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45472
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3750
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
4557
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5391
92.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5303
91.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2229
49.7 IPS |
