Gigabyte Technology Co., Ltd. X570S AERO G
Geekbench AI Score
20571
Single Precision Score
28130
Half Precision Score
16179
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Waldek |
| Upload Date | November 05 2024 08:15 PM |
| Views | 3 |
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% |
9150
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
13285
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
7955
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9742
157.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7862
127.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9217
149.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
142953
166.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
305509
356.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
130968
153.4 IPS |
|
|
Object Detection (SP)
|
100% |
9385
744.5 IPS |
|
|
Object Detection (HP)
|
100% |
12984
1.03 KIPS |
|
|
Object Detection (Q)
|
88% |
8016
642.9 IPS |
|
|
Face Detection (SP)
|
100% |
21462
255.0 IPS |
|
|
Face Detection (HP)
|
100% |
27388
325.4 IPS |
|
|
Face Detection (Q)
|
97% |
18342
218.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
55846
430.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98011
755.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
44025
354.1 IPS |
|
|
Style Transfer (SP)
|
100% |
254505
327.2 IPS |
|
|
Style Transfer (HP)
|
100% |
531457
683.2 IPS |
|
|
Style Transfer (Q)
|
98% |
227952
293.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42581
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50701
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30419
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3845
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2065
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2691
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2693
46.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1381
30.8 IPS |
