MacBook Air (Late 2020)
Geekbench AI Score
616
Single Precision Score
6188
Half Precision Score
4494
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 16 2024 12:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 2.33 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
576
107.2 IPS |
|
|
Image Classification (HP)
|
100% |
3491
649.3 IPS |
|
|
Image Classification (Q)
|
96% |
2546
475.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
149
2.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
1587
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
30372
35.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25626
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
99% |
3524
280.3 IPS |
|
|
Object Detection (Q)
|
93% |
2918
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
591
7.03 IPS |
|
|
Face Detection (HP)
|
100% |
5286
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
5463
64.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
997
7.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
19738
152.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21357
166.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2947
3.79 IPS |
|
|
Style Transfer (HP)
|
100% |
52143
67.0 IPS |
|
|
Style Transfer (Q)
|
96% |
51422
66.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8932
329.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9396
346.9 IPS |
|
|
Text Classification (SP)
|
100% |
130
173.0 IPS |
|
|
Text Classification (HP)
|
100% |
1604
2.14 KIPS |
|
|
Text Classification (Q)
|
93% |
1752
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1201
20.8 IPS |
