ASUS System Product Name
Geekbench AI Score
24988
Single Precision Score
37919
Half Precision Score
18632
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 08:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-A GAMING WIFI |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9658
1.80 KIPS |
|
|
Image Classification (HP)
|
99% |
14790
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
8355
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18038
292.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23400
379.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15648
254.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
144136
168.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
336171
392.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
127462
149.3 IPS |
|
|
Object Detection (SP)
|
100% |
12347
979.4 IPS |
|
|
Object Detection (HP)
|
100% |
19306
1.53 KIPS |
|
|
Object Detection (Q)
|
88% |
9910
794.7 IPS |
|
|
Face Detection (SP)
|
100% |
30224
359.1 IPS |
|
|
Face Detection (HP)
|
100% |
43973
522.5 IPS |
|
|
Face Detection (Q)
|
97% |
24984
297.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
56504
435.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100814
776.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
43735
351.8 IPS |
|
|
Style Transfer (SP)
|
100% |
256673
330.0 IPS |
|
|
Style Transfer (HP)
|
100% |
572612
736.1 IPS |
|
|
Style Transfer (Q)
|
98% |
221845
286.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44287
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52971
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31130
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4120
5.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2124
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4854
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4940
85.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1905
42.5 IPS |
