MacBook Air (Late 2020)
Geekbench AI Score
559
Single Precision Score
6283
Half Precision Score
5317
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 02 2024 09:05 AM |
| Views | 4 |
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 | 1.54 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
171
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
2562
476.5 IPS |
|
|
Image Classification (Q)
|
96% |
3661
683.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
207
3.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
2487
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
39593
46.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
40926
48.0 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
99% |
4600
365.9 IPS |
|
|
Object Detection (Q)
|
93% |
4337
346.1 IPS |
|
|
Face Detection (SP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
8013
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
7046
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1187
9.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
21501
165.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
21601
168.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2753
3.54 IPS |
|
|
Style Transfer (HP)
|
100% |
60725
78.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63054
81.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9661
356.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11092
409.6 IPS |
|
|
Text Classification (SP)
|
100% |
142
189.0 IPS |
|
|
Text Classification (HP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1792
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
411
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
704
12.2 IPS |
