Generic
Geekbench AI Score
5049
Single Precision Score
5156
Half Precision Score
8033
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | FatShibaInu |
| Upload Date | September 21 2024 10:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Phantom Gaming-ITX/ax |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3725
692.7 IPS |
|
|
Image Classification (HP)
|
100% |
3727
693.1 IPS |
|
|
Image Classification (Q)
|
100% |
5466
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3079
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3031
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5181
84.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6870
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
6931
8.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
14283
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
3470
275.2 IPS |
|
|
Object Detection (HP)
|
100% |
3463
274.7 IPS |
|
|
Object Detection (Q)
|
87% |
5580
447.5 IPS |
|
|
Face Detection (SP)
|
100% |
8573
101.9 IPS |
|
|
Face Detection (HP)
|
100% |
8745
103.9 IPS |
|
|
Face Detection (Q)
|
97% |
16057
191.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8656
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8738
67.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
15168
119.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19929
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20107
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
40447
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4206
155.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8252
305.7 IPS |
|
|
Text Classification (SP)
|
100% |
1483
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (Q)
|
91% |
1289
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4311
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4725
81.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4731
81.5 IPS |
