Gigabyte Technology Co., Ltd. B650E AORUS MASTER
Geekbench AI Score
33084
Single Precision Score
36779
Half Precision Score
24479
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | RolandFromHolland85 |
| Upload Date | August 19 2024 04:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B650E AORUS MASTER |
| 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% |
12970
2.41 KIPS |
|
|
Image Classification (HP)
|
100% |
13920
2.59 KIPS |
|
|
Image Classification (Q)
|
100% |
10378
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22353
362.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20650
334.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20417
332.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
263153
307.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
356945
416.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
239263
280.3 IPS |
|
|
Object Detection (SP)
|
100% |
16349
1.30 KIPS |
|
|
Object Detection (HP)
|
99% |
17130
1.36 KIPS |
|
|
Object Detection (Q)
|
89% |
13315
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
41800
496.7 IPS |
|
|
Face Detection (HP)
|
100% |
46045
547.1 IPS |
|
|
Face Detection (Q)
|
97% |
34865
415.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
75416
581.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87097
671.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
52848
433.1 IPS |
|
|
Style Transfer (SP)
|
100% |
435693
560.1 IPS |
|
|
Style Transfer (HP)
|
100% |
601488
773.2 IPS |
|
|
Style Transfer (Q)
|
98% |
385998
497.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50634
1.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58702
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37209
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4007
5.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2283
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4542
78.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1895
42.3 IPS |
