MacBook Air (Late 2020)
Geekbench AI Score
867
Single Precision Score
8780
Half Precision Score
6673
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | December 16 2024 07:54 AM |
| Views | 2 |
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 | 2.65 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
650
120.8 IPS |
|
|
Image Classification (HP)
|
100% |
6305
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5523
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
4158
67.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
192
3.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
3654
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
36393
42.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29496
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (HP)
|
99% |
3385
269.3 IPS |
|
|
Object Detection (Q)
|
93% |
2822
225.2 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (HP)
|
100% |
5057
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
10035
119.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1822
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
36403
280.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
43320
338.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4991
6.42 IPS |
|
|
Style Transfer (HP)
|
100% |
84524
108.7 IPS |
|
|
Style Transfer (Q)
|
96% |
75368
97.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15705
579.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18060
666.9 IPS |
|
|
Text Classification (SP)
|
100% |
332
443.4 IPS |
|
|
Text Classification (HP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (Q)
|
93% |
2604
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1289
22.3 IPS |
