ASUS System Product Name
Geekbench AI Score
2156
Single Precision Score
1993
Half Precision Score
1524
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | November 25 2024 06:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GT 1030 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X3D 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
724
134.6 IPS |
|
|
Image Classification (HP)
|
100% |
764
142.1 IPS |
|
|
Image Classification (Q)
|
100% |
629
116.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
863
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8436
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5409
6.31 IPS |
|
|
Pose Estimation (Q)
|
97% |
7126
8.34 IPS |
|
|
Object Detection (SP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (HP)
|
100% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
89% |
705
56.5 IPS |
|
|
Face Detection (SP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1637
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1235
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3915
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3434
26.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
3069
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13225
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10213
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
11103
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3310
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2780
102.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2222
82.3 IPS |
|
|
Text Classification (SP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1117
1.49 KIPS |
|
|
Text Classification (Q)
|
97% |
613
820.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1328
23.0 IPS |
|
|
Machine Translation (Q)
|
59% |
433
10.0 IPS |
