MacBook Air (Late 2020)
Geekbench AI Score
538
Single Precision Score
5534
Half Precision Score
4659
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 30 2024 10:12 AM |
| Views | 2 |
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 | 1.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
2576
479.1 IPS |
|
|
Image Classification (Q)
|
96% |
2487
464.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
140
2.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
1575
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
47409
55.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
63679
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (HP)
|
99% |
3102
246.7 IPS |
|
|
Object Detection (Q)
|
93% |
3947
314.9 IPS |
|
|
Face Detection (SP)
|
100% |
803
9.54 IPS |
|
|
Face Detection (HP)
|
100% |
6190
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
6989
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
965
7.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
19472
150.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
21233
165.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2389
3.07 IPS |
|
|
Style Transfer (HP)
|
100% |
50657
65.1 IPS |
|
|
Style Transfer (Q)
|
96% |
50398
65.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
652
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7102
262.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8128
300.1 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.3 IPS |
|
|
Text Classification (HP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (Q)
|
93% |
1477
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (Q)
|
98% |
614
10.6 IPS |
