MacBook Air (Late 2020)
Geekbench AI Score
468
Single Precision Score
5144
Half Precision Score
4093
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 05:39 AM |
| Views | 3 |
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 | 1.58 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
328
61.1 IPS |
|
|
Image Classification (HP)
|
100% |
2661
494.8 IPS |
|
|
Image Classification (Q)
|
96% |
2429
453.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
141
2.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
1139
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
23067
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24580
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
99% |
2908
231.4 IPS |
|
|
Object Detection (Q)
|
93% |
2681
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
556
6.60 IPS |
|
|
Face Detection (HP)
|
100% |
4879
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
5824
69.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
902
6.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
18498
142.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
21403
167.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2661
3.42 IPS |
|
|
Style Transfer (HP)
|
100% |
45463
58.4 IPS |
|
|
Style Transfer (Q)
|
96% |
46569
60.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7241
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8734
322.5 IPS |
|
|
Text Classification (SP)
|
100% |
126
168.4 IPS |
|
|
Text Classification (HP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (Q)
|
93% |
1642
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
703
12.1 IPS |
