MacBook Air (Late 2020)
Geekbench AI Score
2174
Single Precision Score
3578
Half Precision Score
2879
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jdmu7ewx |
| Upload Date | April 18 2025 10:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 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% |
903
168.0 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1624
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4250
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
9273
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
7888
9.25 IPS |
|
|
Object Detection (SP)
|
100% |
998
79.2 IPS |
|
|
Object Detection (HP)
|
97% |
1581
125.9 IPS |
|
|
Object Detection (Q)
|
94% |
1138
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
2130
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (Q)
|
100% |
2038
24.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3676
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6725
52.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
4645
36.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11248
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17434
22.4 IPS |
|
|
Style Transfer (Q)
|
96% |
14293
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3083
113.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2270
83.8 IPS |
|
|
Text Classification (SP)
|
100% |
1576
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (Q)
|
93% |
2723
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3295
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3282
56.7 IPS |
