Gigabyte Technology Co., Ltd. X570S AERO G
Geekbench AI Score
20696
Single Precision Score
29160
Half Precision Score
16390
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Waldek |
| Upload Date | November 05 2024 08:19 PM |
| Views | 5 |
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% |
9166
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
13286
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
8010
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9758
158.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10755
174.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9216
149.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
145124
169.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
310266
362.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
129608
151.8 IPS |
|
|
Object Detection (SP)
|
100% |
9761
774.3 IPS |
|
|
Object Detection (HP)
|
100% |
12975
1.03 KIPS |
|
|
Object Detection (Q)
|
88% |
8083
648.2 IPS |
|
|
Face Detection (SP)
|
100% |
21450
254.9 IPS |
|
|
Face Detection (HP)
|
100% |
27761
329.9 IPS |
|
|
Face Detection (Q)
|
97% |
18605
221.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
56027
431.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98554
759.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
44279
356.2 IPS |
|
|
Style Transfer (SP)
|
100% |
255084
327.9 IPS |
|
|
Style Transfer (HP)
|
100% |
533213
685.5 IPS |
|
|
Style Transfer (Q)
|
98% |
227087
292.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42957
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50712
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31795
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
3850
5.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2087
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2702
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2713
46.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1458
32.5 IPS |
