MacBook Air (Late 2020)
Geekbench AI Score
3202
Single Precision Score
15992
Half Precision Score
15667
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | paz_levi |
| Upload Date | August 22 2025 08:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.0 IPS |
|
|
Image Classification (HP)
|
100% |
6333
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6022
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9636
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10065
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68917
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66596
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7485
595.4 IPS |
|
|
Object Detection (Q)
|
91% |
6953
555.6 IPS |
|
|
Face Detection (SP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
16806
199.7 IPS |
|
|
Face Detection (Q)
|
100% |
15311
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48834
376.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
49205
384.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16924
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122130
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115628
149.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3689
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23817
879.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24369
899.8 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3989
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3749
64.8 IPS |
