MacBook Air (Late 2020)
Geekbench AI Score
3194
Single Precision Score
5357
Half Precision Score
4413
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nzAlsulami |
| Upload Date | April 03 2025 11:08 PM |
| Views | 26 |
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% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
2209
410.8 IPS |
|
|
Image Classification (Q)
|
96% |
1579
294.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2531
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14229
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12197
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2399
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
1778
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5391
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3131
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5626
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10417
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7359
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16953
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26957
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22330
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4544
167.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3521
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3983
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4413
76.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4475
77.3 IPS |
