MacBook Air (Late 2020)
Geekbench AI Score
445
Single Precision Score
5350
Half Precision Score
4074
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 03:43 AM |
| Views | 2 |
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 | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
2648
492.5 IPS |
|
|
Image Classification (Q)
|
96% |
2559
477.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
1989
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
136
2.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1132
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
25676
30.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
26084
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
99% |
2851
226.8 IPS |
|
|
Object Detection (Q)
|
93% |
2788
222.5 IPS |
|
|
Face Detection (SP)
|
100% |
471
5.59 IPS |
|
|
Face Detection (HP)
|
100% |
5475
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
5525
65.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
828
6.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
19741
152.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20567
160.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2158
2.77 IPS |
|
|
Style Transfer (HP)
|
100% |
52373
67.3 IPS |
|
|
Style Transfer (Q)
|
96% |
50975
65.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7394
273.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9274
342.4 IPS |
|
|
Text Classification (SP)
|
100% |
127
169.2 IPS |
|
|
Text Classification (HP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (Q)
|
93% |
1723
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
459
7.90 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
98% |
538
9.30 IPS |
