4750g@45W cTDP Generic
Geekbench AI Score
3184
Single Precision Score
4416
Half Precision Score
2297
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kinski |
| Upload Date | August 20 2024 05:07 PM |
| Views | 4 |
| Notes | https://valid.x86.fr/s2a83t |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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% |
1153
214.4 IPS |
|
|
Image Classification (HP)
|
100% |
1594
296.5 IPS |
|
|
Image Classification (Q)
|
99% |
976
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1240
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13887
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24862
29.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
11091
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (HP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (Q)
|
89% |
1134
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
2094
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7423
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10967
84.5 IPS |
|
|
Depth Estimation (Q)
|
72% |
5325
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23394
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38575
49.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17843
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7089
261.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3064
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
702
940.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1563
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (Q)
|
60% |
630
14.2 IPS |
