SAMSUNG ELECTRONICS CO., LTD. 750QUA
Geekbench AI Score
158
Single Precision Score
155
Half Precision Score
192
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | vacantsouls |
| Upload Date | July 12 2025 02:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 2500U with Radeon Vega Mobile Gfx |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750QUA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750QUA-K01US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
85
15.9 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.6 IPS |
|
|
Image Classification (Q)
|
100% |
126
23.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
97
1.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
188
3.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
176
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
167
0.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
262
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
108
8.54 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.52 IPS |
|
|
Object Detection (Q)
|
87% |
123
9.89 IPS |
|
|
Face Detection (SP)
|
100% |
439
5.21 IPS |
|
|
Face Detection (HP)
|
100% |
459
5.45 IPS |
|
|
Face Detection (Q)
|
97% |
310
3.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
274
2.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
214
1.65 IPS |
|
|
Depth Estimation (Q)
|
81% |
371
2.92 IPS |
|
|
Style Transfer (SP)
|
100% |
753
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
542
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
897
1.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
94
3.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
74
2.73 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
128
4.73 IPS |
|
|
Text Classification (SP)
|
100% |
39
51.8 IPS |
|
|
Text Classification (HP)
|
100% |
125
167.0 IPS |
|
|
Text Classification (Q)
|
91% |
34
45.3 IPS |
|
|
Machine Translation (SP)
|
100% |
149
2.56 IPS |
|
|
Machine Translation (HP)
|
100% |
128
2.21 IPS |
|
|
Machine Translation (Q)
|
100% |
200
3.45 IPS |
