MacBook Air (Late 2020)
Geekbench AI Score
3205
Single Precision Score
5410
Half Precision Score
4415
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | LEFTERIS733 |
| Upload Date | August 02 2025 08:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.1 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2524
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6505
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14221
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12202
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
97% |
2400
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
1771
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5282
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
3111
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10315
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7352
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16938
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26925
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22309
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4813
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3512
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4167
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4078
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2531
43.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4584
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4505
77.8 IPS |
