Gigabyte Technology Co., Ltd. X570S AERO G
Geekbench AI Score
20164
Single Precision Score
28661
Half Precision Score
15929
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Waldek |
| Upload Date | November 05 2024 08:51 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% |
8875
1.65 KIPS |
|
|
Image Classification (HP)
|
99% |
13074
2.44 KIPS |
|
|
Image Classification (Q)
|
100% |
7866
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9768
158.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11000
178.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9189
149.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
145102
169.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
292053
340.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
125953
147.5 IPS |
|
|
Object Detection (SP)
|
100% |
9180
728.2 IPS |
|
|
Object Detection (HP)
|
100% |
12452
987.7 IPS |
|
|
Object Detection (Q)
|
88% |
7808
626.2 IPS |
|
|
Face Detection (SP)
|
100% |
20832
247.5 IPS |
|
|
Face Detection (HP)
|
100% |
26778
318.2 IPS |
|
|
Face Detection (Q)
|
97% |
17098
203.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
54405
419.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
96323
742.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
42524
342.1 IPS |
|
|
Style Transfer (SP)
|
100% |
245214
315.2 IPS |
|
|
Style Transfer (HP)
|
100% |
528683
679.6 IPS |
|
|
Style Transfer (Q)
|
98% |
224577
289.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42325
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50759
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31401
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3833
5.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2125
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2551
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2696
46.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1358
30.3 IPS |
