SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench AI Score
2231
Single Precision Score
11170
Half Precision Score
22144
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 19 2024 01:38 AM |
| Views | 2 |
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. NP960XMB-KB1US |
| 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% |
766
142.4 IPS |
|
|
Image Classification (HP)
|
100% |
10818
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
17295
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7671
124.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9311
151.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6675
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
70147
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
244202
286.2 IPS |
|
|
Object Detection (SP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (HP)
|
100% |
11083
879.1 IPS |
|
|
Object Detection (Q)
|
82% |
16346
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
1953
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
22429
266.5 IPS |
|
|
Face Detection (Q)
|
97% |
46346
552.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2770
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42138
324.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
83952
682.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16382
21.1 IPS |
|
|
Style Transfer (HP)
|
23% |
2782
95.8 IPS |
|
|
Style Transfer (Q)
|
98% |
183260
236.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2429
89.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30691
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44304
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (Q)
|
95% |
3553
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2205
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2806
48.3 IPS |
|
|
Machine Translation (Q)
|
37% |
393
38.3 IPS |
