MacBook Air (Late 2020)
Geekbench AI Score
3263
Single Precision Score
5410
Half Precision Score
4441
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lieyan |
| Upload Date | January 01 2025 03:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
2203
409.8 IPS |
|
|
Image Classification (Q)
|
96% |
1571
293.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2598
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6523
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13936
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12009
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
97% |
2437
194.0 IPS |
|
|
Object Detection (Q)
|
94% |
1801
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5491
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3203
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5820
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11092
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7681
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17041
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26620
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22141
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3801
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4736
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3443
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
2384
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4185
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4160
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2580
44.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3916
67.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4339
75.0 IPS |
