Gigabyte Technology Co., Ltd. X570 AORUS MASTER
Geekbench AI Score
34396
Single Precision Score
40522
Half Precision Score
26035
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 21 2025 06:49 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14339
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
14867
2.76 KIPS |
|
|
Image Classification (Q)
|
99% |
11753
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24667
399.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22390
363.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21825
354.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
258464
301.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
428358
499.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
236121
276.6 IPS |
|
|
Object Detection (SP)
|
100% |
17016
1.35 KIPS |
|
|
Object Detection (HP)
|
99% |
18548
1.47 KIPS |
|
|
Object Detection (Q)
|
87% |
14763
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
47637
566.0 IPS |
|
|
Face Detection (HP)
|
100% |
51905
616.7 IPS |
|
|
Face Detection (Q)
|
97% |
40519
483.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
72179
556.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
92803
715.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
58379
467.8 IPS |
|
|
Style Transfer (SP)
|
100% |
438112
563.2 IPS |
|
|
Style Transfer (HP)
|
100% |
640636
823.5 IPS |
|
|
Style Transfer (Q)
|
98% |
378466
488.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47289
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63033
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35521
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3782
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2083
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5531
95.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6086
104.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2416
45.3 IPS |
