MacBook Air (Late 2020)
Geekbench AI Score
3259
Single Precision Score
16753
Half Precision Score
16564
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iambjlu |
| Upload Date | November 06 2025 04:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
6360
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5993
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9872
160.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10185
165.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
68916
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66057
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
7554
600.9 IPS |
|
|
Object Detection (Q)
|
91% |
7052
563.5 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16049
190.7 IPS |
|
|
Face Detection (Q)
|
100% |
15790
187.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5812
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
49416
380.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
49636
387.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17124
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
122352
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116267
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3810
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23986
885.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24705
912.3 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4022
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2600
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5664
97.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6042
104.4 IPS |
