MacBook Air (Late 2020)
Geekbench AI Score
485
Single Precision Score
5679
Half Precision Score
4133
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | February 16 2025 04:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| 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 | 2.71 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
658
122.5 IPS |
|
|
Image Classification (HP)
|
100% |
6480
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
5593
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
346
5.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
4047
65.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
203
3.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
1709
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
26393
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23862
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
99% |
2464
196.0 IPS |
|
|
Object Detection (Q)
|
93% |
2241
178.8 IPS |
|
|
Face Detection (SP)
|
100% |
407
4.83 IPS |
|
|
Face Detection (HP)
|
100% |
4550
54.1 IPS |
|
|
Face Detection (Q)
|
100% |
4976
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
713
5.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
17324
133.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
18286
142.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2249
2.89 IPS |
|
|
Style Transfer (HP)
|
100% |
43889
56.4 IPS |
|
|
Style Transfer (Q)
|
96% |
41594
53.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
597
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7215
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8230
303.9 IPS |
|
|
Text Classification (SP)
|
100% |
104
138.4 IPS |
|
|
Text Classification (HP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (Q)
|
93% |
1414
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.76 IPS |
|
|
Machine Translation (Q)
|
98% |
544
9.40 IPS |
