MacBook Air (Late 2020)
Geekbench AI Score
484
Single Precision Score
5439
Half Precision Score
4164
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 05:15 AM |
| Views | 3 |
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 | 1.64 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (HP)
|
100% |
2837
527.6 IPS |
|
|
Image Classification (Q)
|
96% |
2364
441.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
143
2.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
1360
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
25004
29.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24251
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
99% |
3048
242.4 IPS |
|
|
Object Detection (Q)
|
93% |
2841
226.7 IPS |
|
|
Face Detection (SP)
|
100% |
576
6.85 IPS |
|
|
Face Detection (HP)
|
100% |
5444
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
6151
73.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
879
6.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
18272
140.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
21561
168.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2579
3.32 IPS |
|
|
Style Transfer (HP)
|
100% |
46868
60.2 IPS |
|
|
Style Transfer (Q)
|
96% |
51410
66.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8408
310.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9020
333.1 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.3 IPS |
|
|
Text Classification (HP)
|
100% |
1632
2.18 KIPS |
|
|
Text Classification (Q)
|
93% |
1596
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (HP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
686
11.8 IPS |
