MacBook Air (Late 2020)
Geekbench AI Score
3225
Single Precision Score
5242
Half Precision Score
4396
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 05:35 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.4 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2596
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6522
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13957
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12091
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
97% |
2442
194.4 IPS |
|
|
Object Detection (Q)
|
94% |
1803
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5436
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5841
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11099
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7689
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16716
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26287
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21871
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3720
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3377
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3973
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3614
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4228
73.1 IPS |
