MacBook Air (Late 2020)
Geekbench AI Score
2089
Single Precision Score
3584
Half Precision Score
2888
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | NathanJohnNJ |
| Upload Date | October 06 2025 07:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (Q)
|
96% |
982
183.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1623
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3923
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
9204
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
7822
9.17 IPS |
|
|
Object Detection (SP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (HP)
|
97% |
1575
125.4 IPS |
|
|
Object Detection (Q)
|
94% |
1139
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
2128
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (Q)
|
100% |
2057
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3522
27.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6688
51.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
4613
36.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10929
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17006
21.9 IPS |
|
|
Style Transfer (Q)
|
96% |
14003
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2330
86.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3003
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2243
82.8 IPS |
|
|
Text Classification (SP)
|
100% |
1631
2.18 KIPS |
|
|
Text Classification (HP)
|
99% |
2771
3.70 KIPS |
|
|
Text Classification (Q)
|
93% |
2776
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3438
59.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3436
59.4 IPS |
