Generic
Geekbench AI Score
2538
Single Precision Score
2568
Half Precision Score
2971
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | malasa |
| Upload Date | August 16 2024 02:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X570 Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1745
324.6 IPS |
|
|
Image Classification (HP)
|
100% |
1762
327.7 IPS |
|
|
Image Classification (Q)
|
100% |
1932
359.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2239
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4440
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4437
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
4851
5.69 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (HP)
|
100% |
1660
131.6 IPS |
|
|
Object Detection (Q)
|
87% |
2034
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (Q)
|
97% |
5937
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3851
29.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
4903
37.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
5354
42.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12466
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12497
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13596
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2432
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2437
90.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2764
102.4 IPS |
|
|
Text Classification (SP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (Q)
|
91% |
707
950.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2157
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (Q)
|
90% |
1489
25.9 IPS |
