MacBook Air (Late 2020)
Geekbench AI Score
662
Single Precision Score
6676
Half Precision Score
5032
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 01:50 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 | 2.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
791
147.0 IPS |
|
|
Image Classification (HP)
|
100% |
6288
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5403
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
4011
65.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
307
4.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
2857
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
37552
43.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24828
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
239
18.9 IPS |
|
|
Object Detection (HP)
|
99% |
2678
213.0 IPS |
|
|
Object Detection (Q)
|
93% |
2259
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
392
4.65 IPS |
|
|
Face Detection (HP)
|
100% |
4518
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
5149
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
844
6.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
16979
130.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
17389
135.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1972
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
43895
56.4 IPS |
|
|
Style Transfer (Q)
|
96% |
43106
55.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7254
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12721
469.7 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.7 IPS |
|
|
Text Classification (HP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2255
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1011
17.5 IPS |
