MacBook Air (Late 2020)
Geekbench AI Score
430
Single Precision Score
4612
Half Precision Score
3813
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | December 18 2024 09:22 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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 | 3.02 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
785
145.9 IPS |
|
|
Image Classification (HP)
|
100% |
5406
1.01 KIPS |
|
|
Image Classification (Q)
|
96% |
5023
938.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
3837
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
370
6.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
1167
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15051
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15302
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.44 IPS |
|
|
Object Detection (HP)
|
99% |
2020
160.6 IPS |
|
|
Object Detection (Q)
|
93% |
1733
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (HP)
|
100% |
3882
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
3994
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
432
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
11674
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13847
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1777
2.28 IPS |
|
|
Style Transfer (HP)
|
100% |
47862
61.5 IPS |
|
|
Style Transfer (Q)
|
96% |
50084
64.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7668
283.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9321
344.2 IPS |
|
|
Text Classification (SP)
|
100% |
101
134.9 IPS |
|
|
Text Classification (HP)
|
100% |
592
790.3 IPS |
|
|
Text Classification (Q)
|
93% |
741
994.5 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
98% |
690
11.9 IPS |
