MacBook Air (Late 2020)
Geekbench AI Score
375
Single Precision Score
4704
Half Precision Score
3707
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | December 03 2024 08:45 AM |
| 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 | 1.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
2884
536.3 IPS |
|
|
Image Classification (Q)
|
96% |
2984
557.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
137
2.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
1804
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
26840
31.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26037
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
99% |
2879
229.0 IPS |
|
|
Object Detection (Q)
|
93% |
2781
221.9 IPS |
|
|
Face Detection (SP)
|
100% |
432
5.14 IPS |
|
|
Face Detection (HP)
|
100% |
5291
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
5491
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
542
4.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
19624
151.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21671
169.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1514
1.95 IPS |
|
|
Style Transfer (HP)
|
100% |
43870
56.4 IPS |
|
|
Style Transfer (Q)
|
96% |
48759
62.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5549
204.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7102
262.2 IPS |
|
|
Text Classification (SP)
|
100% |
92
123.0 IPS |
|
|
Text Classification (HP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (Q)
|
93% |
926
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
278
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (Q)
|
98% |
435
7.52 IPS |
