ASUS System Product Name
Geekbench AI Score
4259
Single Precision Score
4281
Half Precision Score
7241
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | August 17 2024 08:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-K |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3376
627.9 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.1 IPS |
|
|
Image Classification (Q)
|
100% |
5185
964.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4780
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6253
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6273
7.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
13364
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
3077
244.1 IPS |
|
|
Object Detection (HP)
|
100% |
3040
241.1 IPS |
|
|
Object Detection (Q)
|
87% |
5105
409.4 IPS |
|
|
Face Detection (SP)
|
100% |
6537
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
6377
75.8 IPS |
|
|
Face Detection (Q)
|
97% |
14758
176.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7668
59.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
7628
58.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
14343
113.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18042
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18382
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38063
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3790
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3882
143.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7725
286.2 IPS |
|
|
Text Classification (SP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1513
2.02 KIPS |
|
|
Text Classification (Q)
|
91% |
1354
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4002
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4002
68.9 IPS |
|
|
Machine Translation (Q)
|
90% |
2783
48.4 IPS |
