MacBook Air (Late 2020)
Geekbench AI Score
3201
Single Precision Score
5358
Half Precision Score
4411
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mmalamri |
| Upload Date | April 09 2025 04:25 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
2194
407.9 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2527
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6510
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14214
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12219
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2380
189.5 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5356
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3138
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5630
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10439
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7382
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16930
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26932
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22312
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4494
166.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3488
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4061
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3989
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2498
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4498
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4514
78.0 IPS |
