MacBook Air (Late 2020)
Geekbench AI Score
3223
Single Precision Score
15460
Half Precision Score
15117
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 06:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
6042
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5732
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9658
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9867
160.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6540
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68205
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65516
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
7031
559.3 IPS |
|
|
Object Detection (Q)
|
91% |
6488
518.4 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
15579
185.1 IPS |
|
|
Face Detection (Q)
|
100% |
14384
170.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5832
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47517
366.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47999
375.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16775
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121030
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114873
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3708
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23832
880.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24556
906.7 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3965
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3203
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3358
58.0 IPS |
