Gigabyte Technology Co., Ltd. X570 AORUS MASTER
Geekbench AI Score
20009
Single Precision Score
28727
Half Precision Score
13097
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | January 30 2025 02:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8294
1.54 KIPS |
|
|
Image Classification (HP)
|
99% |
10967
2.05 KIPS |
|
|
Image Classification (Q)
|
100% |
5899
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10673
173.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13278
215.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8574
139.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
131300
153.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
347183
405.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
103792
121.6 IPS |
|
|
Object Detection (SP)
|
100% |
9740
772.6 IPS |
|
|
Object Detection (HP)
|
100% |
12755
1.01 KIPS |
|
|
Object Detection (Q)
|
85% |
7126
573.3 IPS |
|
|
Face Detection (SP)
|
100% |
23988
285.0 IPS |
|
|
Face Detection (HP)
|
100% |
30981
368.1 IPS |
|
|
Face Detection (Q)
|
97% |
17837
212.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
58651
451.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
92848
715.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
35864
287.3 IPS |
|
|
Style Transfer (SP)
|
100% |
233974
300.8 IPS |
|
|
Style Transfer (HP)
|
100% |
504742
648.9 IPS |
|
|
Style Transfer (Q)
|
98% |
173722
224.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33624
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41045
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19267
713.4 IPS |
|
|
Text Classification (SP)
|
100% |
2735
3.65 KIPS |
|
|
Text Classification (HP)
|
99% |
3345
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1399
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1326
24.9 IPS |
