ASUS System Product Name
Geekbench AI Score
4085
Single Precision Score
4075
Half Precision Score
7095
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | August 17 2024 05:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-K |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3205
596.0 IPS |
|
|
Image Classification (HP)
|
100% |
3316
616.7 IPS |
|
|
Image Classification (Q)
|
100% |
5067
942.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1613
26.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4402
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5958
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5988
6.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
12984
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2851
226.1 IPS |
|
|
Object Detection (HP)
|
100% |
2900
230.0 IPS |
|
|
Object Detection (Q)
|
87% |
5050
405.0 IPS |
|
|
Face Detection (SP)
|
100% |
5059
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
4931
58.6 IPS |
|
|
Face Detection (Q)
|
97% |
14226
169.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7202
55.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
7196
55.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
14125
112.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17306
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17325
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37104
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7471
276.7 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (Q)
|
91% |
1386
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4013
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (Q)
|
90% |
2865
49.8 IPS |
