MacBook Air (Late 2020)
Geekbench AI Score
517
Single Precision Score
5334
Half Precision Score
4438
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 02 2024 09:10 AM |
| Views | 4 |
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 | 1.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
2715
504.9 IPS |
|
|
Image Classification (Q)
|
96% |
2583
482.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
142
2.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
1566
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
26897
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
36781
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
99% |
2887
229.6 IPS |
|
|
Object Detection (Q)
|
93% |
3813
304.3 IPS |
|
|
Face Detection (SP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (HP)
|
100% |
5499
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
6325
75.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
845
6.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
19750
152.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21025
164.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2496
3.21 IPS |
|
|
Style Transfer (HP)
|
100% |
51990
66.8 IPS |
|
|
Style Transfer (Q)
|
96% |
51592
66.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
771
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7413
273.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8867
327.4 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.2 IPS |
|
|
Text Classification (HP)
|
100% |
1627
2.17 KIPS |
|
|
Text Classification (Q)
|
93% |
1499
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
98% |
632
10.9 IPS |
