Generic
Geekbench AI Score
2782
Single Precision Score
1361
Half Precision Score
3696
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Petrowsky |
| Upload Date | November 18 2024 08:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450M Pro4 |
| Power Plan | Ultimate Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1816
337.8 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
96% |
3796
708.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2601
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4490
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (Q)
|
87% |
10993
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (Q)
|
86% |
1904
153.1 IPS |
|
|
Face Detection (SP)
|
100% |
2213
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (Q)
|
96% |
3616
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5616
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2026
15.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
5568
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11556
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10389
13.4 IPS |
|
|
Style Transfer (Q)
|
87% |
13262
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2897
107.4 IPS |
|
|
Text Classification (SP)
|
100% |
1742
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
677
904.2 IPS |
|
|
Text Classification (Q)
|
97% |
1388
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2065
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2144
47.8 IPS |
