MacBook Air (Late 2020)
Geekbench AI Score
413
Single Precision Score
5107
Half Precision Score
3873
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 11:35 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 | 819 MHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (HP)
|
100% |
2423
450.7 IPS |
|
|
Image Classification (Q)
|
96% |
1557
290.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
103
1.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
126
2.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
1650
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
27218
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
25904
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
99% |
2628
209.0 IPS |
|
|
Object Detection (Q)
|
93% |
2709
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
444
5.28 IPS |
|
|
Face Detection (HP)
|
100% |
5535
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
5427
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
769
5.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
19517
150.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
21648
169.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2446
3.14 IPS |
|
|
Style Transfer (HP)
|
100% |
51758
66.5 IPS |
|
|
Style Transfer (Q)
|
96% |
51938
67.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
703
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8062
297.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9083
335.4 IPS |
|
|
Text Classification (SP)
|
100% |
119
158.7 IPS |
|
|
Text Classification (HP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (Q)
|
93% |
1545
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
98% |
645
11.1 IPS |
