MacBook Air (Late 2020)
Geekbench AI Score
3199
Single Precision Score
16713
Half Precision Score
16465
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | saneowl |
| Upload Date | December 20 2024 05:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
6377
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6039
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9797
158.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10142
164.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6488
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
69521
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67086
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7589
603.7 IPS |
|
|
Object Detection (Q)
|
91% |
7048
563.2 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
17010
202.1 IPS |
|
|
Face Detection (Q)
|
100% |
15395
182.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5711
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
49437
380.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
49881
389.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16695
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
123932
159.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118307
152.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23874
881.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25083
926.2 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4026
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4115
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2454
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5151
88.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5395
93.2 IPS |
