ASUS System Product Name
Geekbench AI Score
6541
Single Precision Score
2671
Half Precision Score
9477
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 12:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-E GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5401
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
1029
191.5 IPS |
|
|
Image Classification (Q)
|
99% |
13296
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2773
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3428
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10849
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8770
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
46420
54.4 IPS |
|
|
Object Detection (SP)
|
100% |
5296
420.1 IPS |
|
|
Object Detection (HP)
|
100% |
1250
99.2 IPS |
|
|
Object Detection (Q)
|
86% |
9019
724.8 IPS |
|
|
Face Detection (SP)
|
100% |
10245
121.7 IPS |
|
|
Face Detection (HP)
|
100% |
2582
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
13100
156.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12770
98.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3821
29.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
27399
218.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23677
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18922
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
38969
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4272
157.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3774
139.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6902
255.6 IPS |
|
|
Text Classification (SP)
|
100% |
3113
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1334
1.78 KIPS |
|
|
Text Classification (Q)
|
97% |
654
876.5 IPS |
|
|
Machine Translation (SP)
|
100% |
4046
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4855
97.5 IPS |
