SAMSUNG ELECTRONICS CO., LTD. 767XCL
Geekbench AI Score
671
Single Precision Score
746
Half Precision Score
530
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | Aaronage |
| Upload Date | October 10 2025 01:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 767XCL |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP767XCM-KB1UK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-L16G7 |
| Topology | 1 Processor, 5 Cores |
| Identifier | GenuineIntel Family 6 Model 138 Stepping 1 |
| Base Frequency | 1.38 GHz |
| Cluster 1 | 1 Core |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.7 IPS |
|
|
Image Classification (Q)
|
100% |
265
49.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
367
5.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
2056
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3589
4.19 IPS |
|
|
Pose Estimation (Q)
|
97% |
1806
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.0 IPS |
|
|
Object Detection (HP)
|
98% |
260
20.7 IPS |
|
|
Object Detection (Q)
|
86% |
310
24.9 IPS |
|
|
Face Detection (SP)
|
100% |
680
8.07 IPS |
|
|
Face Detection (HP)
|
100% |
808
9.60 IPS |
|
|
Face Detection (Q)
|
97% |
552
6.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1368
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
1734
13.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1116
8.94 IPS |
|
|
Style Transfer (SP)
|
100% |
5757
7.40 IPS |
|
|
Style Transfer (HP)
|
100% |
8827
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
4529
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
875
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1372
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
626
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.8 IPS |
|
|
Text Classification (HP)
|
100% |
106
141.6 IPS |
|
|
Text Classification (Q)
|
97% |
119
159.3 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (HP)
|
100% |
202
3.48 IPS |
|
|
Machine Translation (Q)
|
70% |
156
2.92 IPS |
