MacBook Air (Late 2020)
Geekbench AI Score
431
Single Precision Score
5980
Half Precision Score
4358
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | December 05 2024 12:27 PM |
| Views | 7 |
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 | 1.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.5 IPS |
|
|
Image Classification (Q)
|
96% |
2532
472.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
141
2.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
140
2.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
2146
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
43663
50.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
44805
52.5 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.1 IPS |
|
|
Object Detection (HP)
|
99% |
3804
302.6 IPS |
|
|
Object Detection (Q)
|
93% |
2653
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
397
4.71 IPS |
|
|
Face Detection (HP)
|
100% |
5478
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
5408
64.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
570
4.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
19878
153.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21581
168.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1650
2.12 IPS |
|
|
Style Transfer (HP)
|
100% |
51899
66.7 IPS |
|
|
Style Transfer (Q)
|
96% |
50387
65.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8364
308.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9484
350.2 IPS |
|
|
Text Classification (SP)
|
100% |
133
177.8 IPS |
|
|
Text Classification (HP)
|
100% |
1601
2.14 KIPS |
|
|
Text Classification (Q)
|
93% |
1653
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
637
11.0 IPS |
