MacBook Air (Late 2020)
Geekbench AI Score
1000
Single Precision Score
9328
Half Precision Score
7088
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | February 14 2025 11:01 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| 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 | 2.25 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
4998
929.4 IPS |
|
|
Image Classification (Q)
|
96% |
4217
787.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
2574
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
131
2.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
2171
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
42612
49.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
45553
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
99% |
5317
422.9 IPS |
|
|
Object Detection (Q)
|
93% |
4935
393.8 IPS |
|
|
Face Detection (SP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
9258
110.0 IPS |
|
|
Face Detection (Q)
|
100% |
9879
117.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2126
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35972
277.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
39687
310.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6146
7.90 IPS |
|
|
Style Transfer (HP)
|
100% |
91410
117.5 IPS |
|
|
Style Transfer (Q)
|
96% |
101685
131.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14391
531.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16513
609.8 IPS |
|
|
Text Classification (SP)
|
100% |
409
546.4 IPS |
|
|
Text Classification (HP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2564
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1527
26.4 IPS |
