SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench AI Score
1953
Single Precision Score
11252
Half Precision Score
22335
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | November 20 2024 11:05 PM |
| Views | 3 |
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 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT960XMB-K01AB |
| Power Plan | Balanced |
| 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% |
581
108.1 IPS |
|
|
Image Classification (HP)
|
100% |
11145
2.07 KIPS |
|
|
Image Classification (Q)
|
99% |
17957
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7633
123.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9340
151.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6049
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
70674
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
240309
281.7 IPS |
|
|
Object Detection (SP)
|
100% |
840
66.6 IPS |
|
|
Object Detection (HP)
|
100% |
10839
859.7 IPS |
|
|
Object Detection (Q)
|
82% |
15473
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
1725
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
22720
270.0 IPS |
|
|
Face Detection (Q)
|
97% |
46554
555.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2388
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42390
326.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
85752
696.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14338
18.4 IPS |
|
|
Style Transfer (HP)
|
23% |
2802
96.5 IPS |
|
|
Style Transfer (Q)
|
98% |
185393
239.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30943
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44613
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1993
2.66 KIPS |
|
|
Text Classification (Q)
|
95% |
3799
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2064
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3000
51.7 IPS |
|
|
Machine Translation (Q)
|
37% |
395
38.5 IPS |
