MacBook Air (Late 2020)
Geekbench AI Score
695
Single Precision Score
7056
Half Precision Score
4957
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 11:28 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 | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
763
142.0 IPS |
|
|
Image Classification (HP)
|
100% |
6110
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5350
999.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
3331
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
125
2.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
1061
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
21622
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
20936
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (HP)
|
99% |
2691
214.1 IPS |
|
|
Object Detection (Q)
|
93% |
2492
198.8 IPS |
|
|
Face Detection (SP)
|
100% |
422
5.02 IPS |
|
|
Face Detection (HP)
|
100% |
4774
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
5645
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
631
4.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
23144
178.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
29471
230.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4490
5.77 IPS |
|
|
Style Transfer (HP)
|
100% |
80844
103.9 IPS |
|
|
Style Transfer (Q)
|
96% |
78570
101.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1364
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13296
490.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16173
597.2 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.4 IPS |
|
|
Text Classification (HP)
|
100% |
2485
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2498
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
487
8.42 IPS |
