Default string Default string
Geekbench AI Score
3870
Single Precision Score
3900
Half Precision Score
6330
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | masterr |
| Upload Date | December 25 2024 07:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H with Radeon Graphics |
| 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% |
2565
477.0 IPS |
|
|
Image Classification (HP)
|
100% |
2589
481.5 IPS |
|
|
Image Classification (Q)
|
100% |
4388
816.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2683
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2642
42.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4477
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4917
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4965
5.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
10928
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
2415
191.5 IPS |
|
|
Object Detection (Q)
|
87% |
4246
340.6 IPS |
|
|
Face Detection (SP)
|
100% |
4123
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
4143
49.2 IPS |
|
|
Face Detection (Q)
|
97% |
12015
143.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6476
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6469
49.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
11531
91.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13818
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14002
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30979
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2881
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2944
108.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6445
238.7 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (Q)
|
91% |
1107
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3659
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3705
63.8 IPS |
