MacBook Air (Late 2020)
Geekbench AI Score
3205
Single Precision Score
16040
Half Precision Score
15701
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 23 2025 08:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
6360
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5990
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9702
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10095
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6493
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
68780
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66082
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
7266
578.0 IPS |
|
|
Object Detection (Q)
|
91% |
6922
553.1 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16856
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
15509
184.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5630
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
49150
378.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
49866
389.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16932
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
123330
158.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116309
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24293
897.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24354
899.3 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3986
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3671
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3770
65.1 IPS |
