Gigabyte Technology Co., Ltd. X570 AORUS XTREME
Geekbench AI Score
2826
Single Precision Score
729
Half Precision Score
3487
Quantized Score
Geekbench AI 1.0.0 Pro for Windows AVX2
Result Information
| User | Tycho |
| Upload Date | August 21 2024 10:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS XTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
134
24.8 IPS |
|
|
Image Classification (Q)
|
97% |
3156
588.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (Q)
|
97% |
2447
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7078
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
5096
5.95 IPS |
|
|
Pose Estimation (Q)
|
87% |
17600
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
86% |
1616
129.9 IPS |
|
|
Face Detection (SP)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
96% |
3974
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6401
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
914
7.04 IPS |
|
|
Depth Estimation (Q)
|
76% |
7531
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16369
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13256
17.0 IPS |
|
|
Style Transfer (Q)
|
87% |
19027
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1905
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1656
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2948
109.2 IPS |
|
|
Text Classification (SP)
|
100% |
1264
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
509
680.0 IPS |
|
|
Text Classification (Q)
|
97% |
388
519.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1738
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.02 IPS |
|
|
Machine Translation (Q)
|
60% |
1859
41.5 IPS |
