MacBook Air (Late 2020)
Geekbench AI Score
445
Single Precision Score
5256
Half Precision Score
4059
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 02 2024 09:16 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 | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
2435
452.9 IPS |
|
|
Image Classification (Q)
|
96% |
2544
475.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
167
2.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
1914
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
29911
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
32286
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (HP)
|
99% |
3616
287.6 IPS |
|
|
Object Detection (Q)
|
93% |
3136
250.2 IPS |
|
|
Face Detection (SP)
|
100% |
466
5.53 IPS |
|
|
Face Detection (HP)
|
100% |
5447
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
5146
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
786
6.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
17073
131.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19342
151.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1932
2.48 IPS |
|
|
Style Transfer (HP)
|
100% |
42582
54.7 IPS |
|
|
Style Transfer (Q)
|
96% |
43956
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8032
296.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8312
306.9 IPS |
|
|
Text Classification (SP)
|
100% |
84
111.5 IPS |
|
|
Text Classification (HP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (Q)
|
93% |
1256
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
324
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
98% |
619
10.7 IPS |
