MacBook Air (Late 2020)
Geekbench AI Score
493
Single Precision Score
5449
Half Precision Score
4127
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 05:27 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 | 1.56 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
2707
503.5 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
142
2.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
1198
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
24347
28.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26109
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
99% |
2920
232.3 IPS |
|
|
Object Detection (Q)
|
93% |
2807
224.0 IPS |
|
|
Face Detection (SP)
|
100% |
582
6.92 IPS |
|
|
Face Detection (HP)
|
100% |
5238
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
5541
65.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
902
6.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
18723
144.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21537
168.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2683
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
49191
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47899
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
644
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8550
315.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8813
325.4 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.6 IPS |
|
|
Text Classification (HP)
|
100% |
1653
2.21 KIPS |
|
|
Text Classification (Q)
|
93% |
1509
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
723
12.5 IPS |
