MacBook Air (Late 2020)
Geekbench AI Score
568
Single Precision Score
5730
Half Precision Score
4350
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 11 2024 03:17 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 | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.8 IPS |
|
|
Image Classification (Q)
|
96% |
2613
488.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
3095
50.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
139
2.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
1389
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
26878
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26145
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
99% |
3031
241.1 IPS |
|
|
Object Detection (Q)
|
93% |
2759
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
584
6.94 IPS |
|
|
Face Detection (HP)
|
100% |
5899
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
8324
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1583
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19832
152.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
21562
168.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2468
3.17 IPS |
|
|
Style Transfer (HP)
|
100% |
51996
66.8 IPS |
|
|
Style Transfer (Q)
|
96% |
50857
65.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8303
306.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9318
344.1 IPS |
|
|
Text Classification (SP)
|
100% |
130
173.9 IPS |
|
|
Text Classification (HP)
|
100% |
1622
2.17 KIPS |
|
|
Text Classification (Q)
|
93% |
1607
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
338
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
98% |
679
11.7 IPS |
