MacBook Air (Late 2020)
Geekbench AI Score
541
Single Precision Score
6176
Half Precision Score
5029
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | December 07 2024 11:44 AM |
| 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 | 1.58 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.5 IPS |
|
|
Image Classification (HP)
|
100% |
2893
538.0 IPS |
|
|
Image Classification (Q)
|
96% |
3172
592.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
198
3.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
1926
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
42070
49.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
36394
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
99% |
4881
388.3 IPS |
|
|
Object Detection (Q)
|
93% |
4647
370.8 IPS |
|
|
Face Detection (SP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (HP)
|
100% |
5209
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
5867
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1128
8.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
19827
152.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
26893
210.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2255
2.90 IPS |
|
|
Style Transfer (HP)
|
100% |
52300
67.2 IPS |
|
|
Style Transfer (Q)
|
96% |
50067
64.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
657
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8667
320.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9476
349.9 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.5 IPS |
|
|
Text Classification (HP)
|
100% |
1696
2.26 KIPS |
|
|
Text Classification (Q)
|
93% |
1704
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
764
13.2 IPS |
