System manufacturer System Product Name
Geekbench AI Score
3290
Single Precision Score
1402
Half Precision Score
4908
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 07:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2592
482.0 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
96% |
4638
866.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1886
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
2687
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4886
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4030
4.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
10819
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
100% |
680
53.9 IPS |
|
|
Object Detection (Q)
|
58% |
3310
361.6 IPS |
|
|
Face Detection (SP)
|
100% |
4839
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
1466
17.4 IPS |
|
|
Face Detection (Q)
|
96% |
8106
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6383
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2022
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10300
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12081
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9864
12.7 IPS |
|
|
Style Transfer (Q)
|
87% |
14727
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2302
85.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1740
64.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3125
115.8 IPS |
|
|
Text Classification (SP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
735
981.0 IPS |
|
|
Text Classification (Q)
|
97% |
1533
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (Q)
|
68% |
3089
59.7 IPS |
