System manufacturer System Product Name
Geekbench AI Score
6046
Single Precision Score
6033
Half Precision Score
8703
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 06:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4156
772.9 IPS |
|
|
Image Classification (HP)
|
100% |
4162
774.1 IPS |
|
|
Image Classification (Q)
|
100% |
5830
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4298
69.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4372
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6434
104.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7485
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
7439
8.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
15244
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3626
287.6 IPS |
|
|
Object Detection (HP)
|
100% |
3575
283.6 IPS |
|
|
Object Detection (Q)
|
87% |
5878
471.4 IPS |
|
|
Face Detection (SP)
|
100% |
8622
102.4 IPS |
|
|
Face Detection (HP)
|
100% |
8373
99.5 IPS |
|
|
Face Detection (Q)
|
97% |
17036
203.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9047
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9086
70.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
16261
128.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21387
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21780
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
43582
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4720
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4711
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8894
329.4 IPS |
|
|
Text Classification (SP)
|
100% |
3608
4.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (Q)
|
91% |
1457
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4742
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4718
81.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4743
81.7 IPS |
