System manufacturer System Product Name
Geekbench AI Score
3829
Single Precision Score
3863
Half Precision Score
6087
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | daeyul |
| Upload Date | March 07 2025 09:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X470-F GAMING |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2434
452.7 IPS |
|
|
Image Classification (HP)
|
100% |
2502
465.3 IPS |
|
|
Image Classification (Q)
|
100% |
3821
710.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2567
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2599
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4110
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4962
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4940
5.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
10615
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (Q)
|
87% |
4128
331.1 IPS |
|
|
Face Detection (SP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4378
52.0 IPS |
|
|
Face Detection (Q)
|
97% |
11314
134.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6469
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6375
49.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
10967
86.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14271
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14236
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29771
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2887
106.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5978
221.4 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (Q)
|
91% |
1392
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3305
56.9 IPS |
