SAMSUNG ELECTRONICS CO., LTD. Galaxy Book S
Geekbench AI Score
287
Single Precision Score
315
Half Precision Score
764
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 03:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon (TM) 8cx @ 2.84 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. Galaxy Book S |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. SM-W767NZAADBT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon (TM) 8cx @ 2.84 GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 805 Revision D0E |
| Base Frequency | 2.84 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
99% |
623
116.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
540
8.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
649
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
714
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
695
0.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
2455
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.58 IPS |
|
|
Object Detection (HP)
|
99% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
88% |
453
36.3 IPS |
|
|
Face Detection (SP)
|
100% |
319
3.79 IPS |
|
|
Face Detection (HP)
|
100% |
371
4.41 IPS |
|
|
Face Detection (Q)
|
97% |
854
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
377
2.90 IPS |
|
|
Depth Estimation (HP)
|
98% |
414
3.20 IPS |
|
|
Depth Estimation (Q)
|
76% |
1354
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1537
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
2264
2.91 IPS |
|
|
Style Transfer (Q)
|
98% |
5057
6.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.28 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
581
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
238
317.5 IPS |
|
|
Text Classification (HP)
|
100% |
104
138.7 IPS |
|
|
Text Classification (Q)
|
97% |
154
206.7 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.02 IPS |
|
|
Machine Translation (HP)
|
99% |
226
3.91 IPS |
|
|
Machine Translation (Q)
|
60% |
288
6.43 IPS |
