MacBook Air (Late 2020)
Geekbench AI Score
2206
Single Precision Score
3541
Half Precision Score
2880
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | atrophyalive |
| Upload Date | December 20 2024 04:07 AM |
| Views | 18 |
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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
928
172.6 IPS |
|
|
Image Classification (HP)
|
100% |
1406
261.5 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1689
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4272
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
9116
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
7853
9.20 IPS |
|
|
Object Detection (SP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (HP)
|
97% |
1602
127.6 IPS |
|
|
Object Detection (Q)
|
94% |
1147
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
2163
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
3678
43.7 IPS |
|
|
Face Detection (Q)
|
100% |
2071
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3764
29.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7073
54.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
4928
38.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11295
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17142
22.0 IPS |
|
|
Style Transfer (Q)
|
96% |
14215
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2932
108.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2183
80.6 IPS |
|
|
Text Classification (SP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2655
3.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2662
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2880
49.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3100
53.6 IPS |
