MacBook Air (Late 2020)
Geekbench AI Score
399
Single Precision Score
4126
Half Precision Score
2852
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 08:15 AM |
| Views | 13 |
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 | 1.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
166
30.8 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
98
1.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
1213
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
19105
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26150
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (HP)
|
99% |
3906
310.7 IPS |
|
|
Object Detection (Q)
|
93% |
2293
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
714
8.49 IPS |
|
|
Face Detection (HP)
|
100% |
7513
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
5067
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
956
7.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
16281
125.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17606
137.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1370
1.76 IPS |
|
|
Style Transfer (HP)
|
100% |
41725
53.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34935
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5000
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5190
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
130
172.9 IPS |
|
|
Text Classification (HP)
|
100% |
629
839.2 IPS |
|
|
Text Classification (Q)
|
93% |
527
707.7 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
98% |
430
7.43 IPS |
