MacBook Air (Late 2020)
Geekbench AI Score
451
Single Precision Score
5277
Half Precision Score
4142
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 03:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 1.75 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
339
63.0 IPS |
|
|
Image Classification (HP)
|
100% |
2711
504.2 IPS |
|
|
Image Classification (Q)
|
96% |
2411
450.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
159
2.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
135
2.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
1065
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
26848
31.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26116
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
99% |
2786
221.6 IPS |
|
|
Object Detection (Q)
|
93% |
2831
225.9 IPS |
|
|
Face Detection (SP)
|
100% |
517
6.14 IPS |
|
|
Face Detection (HP)
|
100% |
5537
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
6217
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
720
5.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
20176
155.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
21097
164.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2282
2.93 IPS |
|
|
Style Transfer (HP)
|
100% |
47035
60.5 IPS |
|
|
Style Transfer (Q)
|
96% |
46631
60.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7544
278.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7704
284.5 IPS |
|
|
Text Classification (SP)
|
100% |
136
182.1 IPS |
|
|
Text Classification (HP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (Q)
|
93% |
1602
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
379
6.52 IPS |
|
|
Machine Translation (HP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (Q)
|
98% |
819
14.2 IPS |
