ASUS System Product Name
Geekbench AI Score
19025
Single Precision Score
31091
Half Precision Score
11995
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 12:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7564
1.41 KIPS |
|
|
Image Classification (HP)
|
99% |
12100
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
5181
963.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
13072
211.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18377
297.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10280
167.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
106081
123.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
292335
341.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
84860
99.4 IPS |
|
|
Object Detection (SP)
|
100% |
9899
785.2 IPS |
|
|
Object Detection (HP)
|
100% |
15879
1.26 KIPS |
|
|
Object Detection (Q)
|
88% |
7035
564.1 IPS |
|
|
Face Detection (SP)
|
100% |
20890
248.2 IPS |
|
|
Face Detection (HP)
|
100% |
34079
404.9 IPS |
|
|
Face Detection (Q)
|
97% |
15005
178.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
42270
325.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
79766
614.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
27670
223.8 IPS |
|
|
Style Transfer (SP)
|
100% |
178460
229.4 IPS |
|
|
Style Transfer (HP)
|
100% |
452091
581.2 IPS |
|
|
Style Transfer (Q)
|
98% |
136866
176.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32255
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43579
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18528
686.1 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
3827
5.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1461
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3990
68.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1261
28.1 IPS |
