MacBook Air (Late 2020)
Geekbench AI Score
3193
Single Precision Score
15954
Half Precision Score
15740
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mulnir |
| Upload Date | May 03 2025 11:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 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% |
1405
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
6353
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6004
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9680
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10205
165.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6487
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
68643
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66877
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7296
580.4 IPS |
|
|
Object Detection (Q)
|
91% |
7116
568.6 IPS |
|
|
Face Detection (SP)
|
100% |
2965
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
16868
200.4 IPS |
|
|
Face Detection (Q)
|
100% |
15317
182.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5628
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48558
374.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
49427
386.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16914
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122494
157.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115966
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3669
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23712
875.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24193
893.3 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3763
65.0 IPS |
