Gigabyte Technology Co., Ltd. X570S AERO G
Geekbench AI Score
20531
Single Precision Score
29452
Half Precision Score
16289
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Waldek |
| Upload Date | November 05 2024 08:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AERO G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9071
1.69 KIPS |
|
|
Image Classification (HP)
|
99% |
13267
2.47 KIPS |
|
|
Image Classification (Q)
|
100% |
7973
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9797
158.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10973
177.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9290
151.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
145095
169.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
309214
360.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
128814
150.8 IPS |
|
|
Object Detection (SP)
|
100% |
9422
747.3 IPS |
|
|
Object Detection (HP)
|
100% |
13315
1.06 KIPS |
|
|
Object Detection (Q)
|
88% |
8063
646.6 IPS |
|
|
Face Detection (SP)
|
100% |
21735
258.3 IPS |
|
|
Face Detection (HP)
|
100% |
28251
335.7 IPS |
|
|
Face Detection (Q)
|
97% |
18708
223.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
56093
432.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99695
768.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
44134
355.0 IPS |
|
|
Style Transfer (SP)
|
100% |
252651
324.8 IPS |
|
|
Style Transfer (HP)
|
100% |
532166
684.1 IPS |
|
|
Style Transfer (Q)
|
98% |
225998
291.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42395
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50170
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31193
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3144
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2156
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2668
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2651
45.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1363
30.4 IPS |
