MacBook Air (Late 2020)
Geekbench AI Score
3214
Single Precision Score
5374
Half Precision Score
4426
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | paz_levi |
| Upload Date | August 22 2025 08:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
2228
414.4 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2544
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6477
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14234
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12217
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1512
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2409
191.8 IPS |
|
|
Object Detection (Q)
|
94% |
1783
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
2983
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5348
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10463
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7393
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16957
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26916
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22352
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3690
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4573
168.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3496
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4479
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4490
77.6 IPS |
