System manufacturer System Product Name
Geekbench AI Score
3675
Single Precision Score
1643
Half Precision Score
3767
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | December 29 2024 07:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-I GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2513
467.3 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
96% |
3995
746.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2181
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2300
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5910
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4694
5.48 IPS |
|
|
Pose Estimation (Q)
|
87% |
13351
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
786
62.4 IPS |
|
|
Object Detection (Q)
|
86% |
2112
169.8 IPS |
|
|
Face Detection (SP)
|
100% |
3761
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
1755
20.8 IPS |
|
|
Face Detection (Q)
|
96% |
4892
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6771
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2377
18.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
6812
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14922
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11464
14.7 IPS |
|
|
Style Transfer (Q)
|
87% |
18444
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2646
97.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3504
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
450
602.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2294
51.2 IPS |
