MacBook Air (Late 2020)
Geekbench AI Score
4860
Single Precision Score
5595
Half Precision Score
5348
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | rossivr771 |
| Upload Date | October 09 2025 01:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2350
436.9 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.2 IPS |
|
|
Image Classification (Q)
|
96% |
2209
412.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3619
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3783
61.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3607
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15490
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17209
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16842
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (HP)
|
100% |
2624
208.1 IPS |
|
|
Object Detection (Q)
|
92% |
2216
176.9 IPS |
|
|
Face Detection (SP)
|
100% |
6196
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
7529
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
6154
73.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9976
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11463
88.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10494
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26963
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31118
40.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30155
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6231
230.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6797
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5728
211.5 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4083
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4030
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1432
24.8 IPS |
