MacBook Air (Late 2020)
Geekbench AI Score
592
Single Precision Score
6284
Half Precision Score
4809
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 11 2024 02:51 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 | 1.56 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
319
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
2877
535.1 IPS |
|
|
Image Classification (Q)
|
96% |
2560
478.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
150
2.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
2472
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
40363
47.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
36560
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (HP)
|
99% |
6421
510.7 IPS |
|
|
Object Detection (Q)
|
93% |
6291
502.0 IPS |
|
|
Face Detection (SP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (HP)
|
100% |
6516
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
6388
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
997
7.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
20065
154.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
21287
166.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2881
3.70 IPS |
|
|
Style Transfer (HP)
|
100% |
51355
66.0 IPS |
|
|
Style Transfer (Q)
|
96% |
50447
65.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
821
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8564
316.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10791
398.5 IPS |
|
|
Text Classification (SP)
|
100% |
210
279.9 IPS |
|
|
Text Classification (HP)
|
100% |
1602
2.14 KIPS |
|
|
Text Classification (Q)
|
93% |
1396
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
725
12.5 IPS |
