MacBook Air M1 MacBook Air (Late 2020)
Geekbench AI Score
3081
Single Precision Score
14809
Half Precision Score
14404
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | samuelgibbs |
| Upload Date | March 16 2026 03:29 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
6285
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5922
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8922
144.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9151
148.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6011
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
67548
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64552
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
99% |
6990
556.0 IPS |
|
|
Object Detection (Q)
|
91% |
6298
503.2 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
13844
164.5 IPS |
|
|
Face Detection (Q)
|
100% |
13098
155.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5461
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45878
353.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
46081
360.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16461
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121860
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114765
148.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24516
905.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24246
895.3 IPS |
|
|
Text Classification (SP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4224
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4241
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2391
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2450
42.3 IPS |
