Generic
Geekbench AI Score
4578
Single Precision Score
1988
Half Precision Score
6257
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 12:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock X570S PG Riptide |
| Power Plan | Balanced |
| 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 | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3955
735.6 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.8 IPS |
|
|
Image Classification (Q)
|
96% |
5641
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1026
16.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
6681
108.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7092
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5924
6.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
13422
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
3553
281.8 IPS |
|
|
Object Detection (HP)
|
100% |
925
73.4 IPS |
|
|
Object Detection (Q)
|
58% |
3993
436.3 IPS |
|
|
Face Detection (SP)
|
100% |
5761
68.4 IPS |
|
|
Face Detection (HP)
|
100% |
1853
22.0 IPS |
|
|
Face Detection (Q)
|
96% |
9331
111.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9205
70.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2571
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12248
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16761
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14886
19.1 IPS |
|
|
Style Transfer (Q)
|
87% |
13627
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3125
115.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2772
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4832
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1089
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1679
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2985
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
68% |
3608
69.7 IPS |
