SAMSUNG ELECTRONICS CO., LTD. 767XCL
Geekbench AI Score
332
Single Precision Score
180
Half Precision Score
528
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | Aaronage |
| Upload Date | October 10 2025 01:03 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-L16G7 |
| 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% |
213
39.5 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.0 IPS |
|
|
Image Classification (Q)
|
96% |
401
74.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
455
7.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
284
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
887
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
93
7.38 IPS |
|
|
Object Detection (Q)
|
58% |
286
31.3 IPS |
|
|
Face Detection (SP)
|
100% |
639
7.59 IPS |
|
|
Face Detection (HP)
|
100% |
243
2.89 IPS |
|
|
Face Detection (Q)
|
96% |
925
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
540
4.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
271
2.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
908
7.23 IPS |
|
|
Style Transfer (SP)
|
100% |
968
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
815
1.05 IPS |
|
|
Style Transfer (Q)
|
87% |
2029
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
169
6.22 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
443
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
195
260.8 IPS |
|
|
Text Classification (HP)
|
100% |
107
143.4 IPS |
|
|
Text Classification (Q)
|
97% |
130
174.4 IPS |
|
|
Machine Translation (SP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (HP)
|
100% |
150
2.59 IPS |
|
|
Machine Translation (Q)
|
68% |
374
7.22 IPS |
