MacBook Air (Late 2020)
Geekbench AI Score
571
Single Precision Score
5986
Half Precision Score
4388
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 01 2024 09:47 AM |
| Views | 7 |
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 | 2.55 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (HP)
|
100% |
6129
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
4877
910.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
469
7.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
3410
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
140
2.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
21510
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
21230
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
99% |
2434
193.6 IPS |
|
|
Object Detection (Q)
|
93% |
2456
196.0 IPS |
|
|
Face Detection (SP)
|
100% |
390
4.64 IPS |
|
|
Face Detection (HP)
|
100% |
5368
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
4383
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1440
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17614
135.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
17253
134.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3150
4.05 IPS |
|
|
Style Transfer (HP)
|
100% |
63379
81.5 IPS |
|
|
Style Transfer (Q)
|
96% |
72561
93.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
892
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9557
352.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11475
423.7 IPS |
|
|
Text Classification (SP)
|
100% |
143
190.6 IPS |
|
|
Text Classification (HP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (Q)
|
93% |
2135
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
505
8.69 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (Q)
|
98% |
554
9.57 IPS |
