ASUS System Product Name
Geekbench AI Score
2241
Single Precision Score
2389
Half Precision Score
3510
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Shadowlord |
| Upload Date | September 16 2024 09:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | Energiesparmodus |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
1449
269.4 IPS |
|
|
Image Classification (Q)
|
100% |
2069
384.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2333
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4394
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
4361
5.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
7771
9.12 IPS |
|
|
Object Detection (SP)
|
100% |
1299
103.1 IPS |
|
|
Object Detection (HP)
|
100% |
1327
105.2 IPS |
|
|
Object Detection (Q)
|
87% |
2369
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
4169
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
3757
44.6 IPS |
|
|
Face Detection (Q)
|
97% |
6852
81.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3758
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3879
29.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
7258
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9820
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11646
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21049
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3100
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
731
976.0 IPS |
|
|
Text Classification (Q)
|
91% |
550
739.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1565
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1640
28.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1790
30.8 IPS |
