Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
1928
Single Precision Score
3088
Half Precision Score
6261
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | oldnick |
| Upload Date | February 02 2025 08:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| 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% |
723
134.5 IPS |
|
|
Image Classification (HP)
|
100% |
2607
484.8 IPS |
|
|
Image Classification (Q)
|
99% |
6624
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3380
54.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2419
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6037
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
7100
8.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
20405
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (HP)
|
99% |
2275
181.0 IPS |
|
|
Object Detection (Q)
|
86% |
5973
480.0 IPS |
|
|
Face Detection (SP)
|
100% |
1724
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
6519
77.5 IPS |
|
|
Face Detection (Q)
|
97% |
10871
129.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2205
17.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3542
27.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
10705
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13244
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10486
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33532
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1499
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3553
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
1441
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
629
839.5 IPS |
|
|
Text Classification (Q)
|
97% |
1209
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1945
33.5 IPS |
|
|
Machine Translation (HP)
|
99% |
2433
42.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2831
56.9 IPS |
