MacBook Air (Late 2020)
Geekbench AI Score
578
Single Precision Score
5816
Half Precision Score
4315
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 05:50 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 | 1.71 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (HP)
|
100% |
2694
501.0 IPS |
|
|
Image Classification (Q)
|
96% |
2389
446.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
151
2.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
1403
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
40005
46.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
23192
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
99% |
2967
236.0 IPS |
|
|
Object Detection (Q)
|
93% |
2737
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
625
7.43 IPS |
|
|
Face Detection (HP)
|
100% |
5556
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
6366
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1157
8.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
25528
196.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
22068
172.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2955
3.80 IPS |
|
|
Style Transfer (HP)
|
100% |
58133
74.7 IPS |
|
|
Style Transfer (Q)
|
96% |
48945
63.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
665
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8502
313.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10515
388.3 IPS |
|
|
Text Classification (SP)
|
100% |
195
260.5 IPS |
|
|
Text Classification (HP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (Q)
|
93% |
1617
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
836
14.5 IPS |
