MacBook Air (Late 2020)
Geekbench AI Score
4629
Single Precision Score
5288
Half Precision Score
4697
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kochitora |
| Upload Date | January 01 2025 11:37 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2227
414.1 IPS |
|
|
Image Classification (HP)
|
100% |
2287
425.3 IPS |
|
|
Image Classification (Q)
|
97% |
1950
364.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2602
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3272
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3304
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15676
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16826
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15648
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2406
190.8 IPS |
|
|
Object Detection (HP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (Q)
|
91% |
2019
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
6440
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
7452
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
5261
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10152
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11032
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9425
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26659
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30754
39.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28655
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6619
244.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5061
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3952
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
908
15.7 IPS |
