MacBook Air (Late 2020)
Geekbench AI Score
591
Single Precision Score
6033
Half Precision Score
4499
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 01 2024 03:05 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 | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
543
100.9 IPS |
|
|
Image Classification (HP)
|
100% |
4552
846.5 IPS |
|
|
Image Classification (Q)
|
96% |
3941
735.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
133
2.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
1540
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
27090
31.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26165
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (HP)
|
99% |
3434
273.1 IPS |
|
|
Object Detection (Q)
|
93% |
2783
222.1 IPS |
|
|
Face Detection (SP)
|
100% |
580
6.90 IPS |
|
|
Face Detection (HP)
|
100% |
4860
57.8 IPS |
|
|
Face Detection (Q)
|
100% |
5221
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
941
7.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
19754
152.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21737
169.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2504
3.22 IPS |
|
|
Style Transfer (HP)
|
100% |
53897
69.3 IPS |
|
|
Style Transfer (Q)
|
96% |
50444
65.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
800
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8507
314.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9377
346.3 IPS |
|
|
Text Classification (SP)
|
100% |
147
195.6 IPS |
|
|
Text Classification (HP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (Q)
|
93% |
1635
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1015
17.5 IPS |
