System manufacturer System Product Name
Geekbench AI Score
2434
Single Precision Score
2601
Half Precision Score
3105
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | March 08 2025 10:20 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350M-A |
| Power Plan | AMD Ryzen 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% |
1556
289.3 IPS |
|
|
Image Classification (HP)
|
100% |
1254
233.3 IPS |
|
|
Image Classification (Q)
|
100% |
1759
327.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2262
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4230
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4363
5.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
4937
5.79 IPS |
|
|
Object Detection (SP)
|
100% |
1255
99.6 IPS |
|
|
Object Detection (HP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (Q)
|
87% |
1991
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (Q)
|
97% |
6084
72.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4318
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4553
35.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
5724
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9864
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12859
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14621
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2124
78.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2331
86.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2929
108.5 IPS |
|
|
Text Classification (SP)
|
100% |
1459
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (Q)
|
91% |
647
869.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2209
38.0 IPS |
