MacBook Air (Late 2020)
Geekbench AI Score
602
Single Precision Score
5641
Half Precision Score
4295
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 29 2024 11:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (HP)
|
100% |
2717
505.3 IPS |
|
|
Image Classification (Q)
|
96% |
2473
461.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
167
2.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
1862
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
26837
31.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
32361
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (HP)
|
99% |
4104
326.4 IPS |
|
|
Object Detection (Q)
|
93% |
3061
244.3 IPS |
|
|
Face Detection (SP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (HP)
|
100% |
5956
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
5710
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
846
6.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
19500
150.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21116
165.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2617
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
52761
67.8 IPS |
|
|
Style Transfer (Q)
|
96% |
51684
66.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8211
303.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9178
338.9 IPS |
|
|
Text Classification (SP)
|
100% |
212
282.6 IPS |
|
|
Text Classification (HP)
|
100% |
1558
2.08 KIPS |
|
|
Text Classification (Q)
|
93% |
1566
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
98% |
584
10.1 IPS |
