MacBook Air (Late 2020)
Geekbench AI Score
608
Single Precision Score
7001
Half Precision Score
5304
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | February 15 2025 04:07 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| 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 | 2.91 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
618
115.0 IPS |
|
|
Image Classification (HP)
|
100% |
6215
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5398
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
331
5.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
3653
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
192
3.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
1422
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
22180
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20711
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
99% |
4466
355.3 IPS |
|
|
Object Detection (Q)
|
93% |
4489
358.2 IPS |
|
|
Face Detection (SP)
|
100% |
896
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
7588
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4893
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
537
4.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
16149
124.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19517
152.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1994
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
43872
56.4 IPS |
|
|
Style Transfer (Q)
|
96% |
41816
54.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7273
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14086
520.1 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.5 IPS |
|
|
Text Classification (HP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2295
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (HP)
|
100% |
1395
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1419
24.5 IPS |
