SAMSUNG ELECTRONICS CO., LTD. 750XGL
Geekbench AI Score
5997
Single Precision Score
11591
Half Precision Score
4316
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 25 2025 01:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX570 A |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XGL |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT750XGP-G72AR |
| CPU Information | |
|---|---|
| Name | Intel Core 7 150U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2792
519.2 IPS |
|
|
Image Classification (HP)
|
99% |
4852
905.0 IPS |
|
|
Image Classification (Q)
|
99% |
2205
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3445
55.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5831
94.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2770
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22933
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
76936
89.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
19218
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
2848
225.9 IPS |
|
|
Object Detection (HP)
|
100% |
5803
460.3 IPS |
|
|
Object Detection (Q)
|
84% |
2539
204.8 IPS |
|
|
Face Detection (SP)
|
100% |
5521
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
9491
112.8 IPS |
|
|
Face Detection (Q)
|
97% |
4868
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14164
109.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
30872
237.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
10712
85.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44344
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
129743
166.8 IPS |
|
|
Style Transfer (Q)
|
98% |
35041
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7531
278.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17079
630.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5115
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
1996
2.66 KIPS |
|
|
Text Classification (HP)
|
99% |
2680
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1012
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1992
34.3 IPS |
|
|
Machine Translation (Q)
|
70% |
797
15.0 IPS |
