SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench AI Score
2279
Single Precision Score
11167
Half Precision Score
21896
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | strongtz |
| Upload Date | August 24 2024 01:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E84100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XMB-KB1HK |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E84100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
795
147.9 IPS |
|
|
Image Classification (HP)
|
100% |
10965
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
17492
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7656
124.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9337
151.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6912
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
70290
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
239841
281.1 IPS |
|
|
Object Detection (SP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (HP)
|
100% |
10918
866.0 IPS |
|
|
Object Detection (Q)
|
82% |
14420
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
2043
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
22649
269.1 IPS |
|
|
Face Detection (Q)
|
97% |
46141
550.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2792
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41949
323.2 IPS |
|
|
Depth Estimation (Q)
|
71% |
84098
699.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16815
21.6 IPS |
|
|
Style Transfer (HP)
|
23% |
2779
95.7 IPS |
|
|
Style Transfer (Q)
|
98% |
184041
237.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2558
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30431
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44464
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
1666
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (Q)
|
95% |
3594
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (Q)
|
37% |
393
38.3 IPS |
