MacBook Air (Late 2020)
Geekbench AI Score
3204
Single Precision Score
15954
Half Precision Score
15683
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hytham |
| Upload Date | April 08 2025 12:19 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1411
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
6341
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5993
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9675
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10169
164.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6508
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
69000
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67005
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
7276
578.8 IPS |
|
|
Object Detection (Q)
|
91% |
6812
544.3 IPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16843
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
15433
183.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5684
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48743
375.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
49399
386.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16972
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122497
157.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115553
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3683
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23673
874.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24261
895.8 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4043
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3745
64.7 IPS |
