4750g@45W cTDP Generic
Geekbench AI Score
2472
Single Precision Score
2466
Half Precision Score
4199
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kinski |
| Upload Date | August 20 2024 05:10 PM |
| Views | 3 |
| Notes | https://valid.x86.fr/s2a83t |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 4750G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X300M-STX |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 4750G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (HP)
|
100% |
1646
306.1 IPS |
|
|
Image Classification (Q)
|
100% |
2822
524.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3174
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3958
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3825
4.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
7452
8.74 IPS |
|
|
Object Detection (SP)
|
100% |
1675
132.9 IPS |
|
|
Object Detection (HP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (Q)
|
87% |
2934
235.3 IPS |
|
|
Face Detection (SP)
|
100% |
3470
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3476
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
9209
109.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4534
34.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
4529
34.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
8270
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9840
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9838
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21062
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1995
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4191
155.3 IPS |
|
|
Text Classification (SP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
997
1.33 KIPS |
|
|
Text Classification (Q)
|
91% |
809
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2344
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (Q)
|
90% |
1600
27.8 IPS |
