MacBook Air (Late 2020)
Geekbench AI Score
3206
Single Precision Score
15979
Half Precision Score
15713
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 09 2025 07:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
6340
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5997
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9745
158.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10175
164.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
68990
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65982
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
7291
580.0 IPS |
|
|
Object Detection (Q)
|
91% |
6910
552.1 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16884
200.6 IPS |
|
|
Face Detection (Q)
|
100% |
15329
182.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48505
373.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
49380
385.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16972
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121795
156.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115925
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23765
877.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24428
902.0 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4076
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2515
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3775
65.2 IPS |
