Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench AI Score
3612
Single Precision Score
1372
Half Precision Score
4436
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 07 2024 07:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1650
306.9 IPS |
|
|
Image Classification (HP)
|
100% |
380
70.6 IPS |
|
|
Image Classification (Q)
|
96% |
3501
653.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2979
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11082
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6630
7.74 IPS |
|
|
Pose Estimation (Q)
|
87% |
20596
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (HP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (Q)
|
86% |
1832
147.3 IPS |
|
|
Face Detection (SP)
|
100% |
3367
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
1192
14.2 IPS |
|
|
Face Detection (Q)
|
96% |
4656
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8730
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2278
17.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7573
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22416
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18613
23.9 IPS |
|
|
Style Transfer (Q)
|
87% |
22538
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2423
89.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3092
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
1315
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
494
659.5 IPS |
|
|
Text Classification (Q)
|
97% |
1169
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
60% |
2611
58.2 IPS |
