MacBook Air (Late 2020)
Geekbench AI Score
729
Single Precision Score
7291
Half Precision Score
5530
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 16 2024 12:13 PM |
| 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 | 2.53 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
654
121.5 IPS |
|
|
Image Classification (HP)
|
100% |
6435
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
5556
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
4070
66.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
198
3.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
1687
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
28160
32.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24136
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
99% |
4028
320.4 IPS |
|
|
Object Detection (Q)
|
93% |
2656
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
542
6.44 IPS |
|
|
Face Detection (HP)
|
100% |
4202
49.9 IPS |
|
|
Face Detection (Q)
|
100% |
4670
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
16121
124.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17948
140.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2264
2.91 IPS |
|
|
Style Transfer (HP)
|
100% |
43163
55.5 IPS |
|
|
Style Transfer (Q)
|
96% |
73092
94.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1339
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12737
470.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16439
607.0 IPS |
|
|
Text Classification (SP)
|
100% |
307
410.0 IPS |
|
|
Text Classification (HP)
|
100% |
2563
3.42 KIPS |
|
|
Text Classification (Q)
|
93% |
2557
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1475
25.5 IPS |
