SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench AI Score
1934
Single Precision Score
15938
Half Precision Score
35648
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 17 2025 06:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XMA-KB1HK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
691
128.4 IPS |
|
|
Image Classification (HP)
|
100% |
10477
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
17604
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
799
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8134
131.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17195
279.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5651
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
70652
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
235916
276.5 IPS |
|
|
Object Detection (SP)
|
100% |
714
56.7 IPS |
|
|
Object Detection (HP)
|
100% |
10946
868.2 IPS |
|
|
Object Detection (Q)
|
92% |
20827
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
1780
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
24023
285.4 IPS |
|
|
Face Detection (Q)
|
97% |
62559
746.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2259
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42302
325.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
103973
829.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13793
17.7 IPS |
|
|
Style Transfer (HP)
|
98% |
57826
74.6 IPS |
|
|
Style Transfer (Q)
|
98% |
261620
337.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30126
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64432
2.38 KIPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (Q)
|
95% |
3489
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3904
67.2 IPS |
|
|
Machine Translation (Q)
|
67% |
5825
113.4 IPS |
