Default string Default string
Geekbench AI Score
2921
Single Precision Score
1308
Half Precision Score
4091
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | masterr |
| Upload Date | December 25 2024 06:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2472
459.8 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.3 IPS |
|
|
Image Classification (Q)
|
96% |
4064
759.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2307
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4913
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3939
4.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
9727
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.5 IPS |
|
|
Object Detection (HP)
|
100% |
632
50.1 IPS |
|
|
Object Detection (Q)
|
58% |
2703
295.3 IPS |
|
|
Face Detection (SP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (Q)
|
96% |
6478
77.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6644
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2012
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9043
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11446
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9705
12.5 IPS |
|
|
Style Transfer (Q)
|
87% |
13013
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2065
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1748
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2343
86.8 IPS |
|
|
Text Classification (SP)
|
100% |
1382
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
643
858.5 IPS |
|
|
Text Classification (Q)
|
97% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2121
41.0 IPS |
