MacBook Air (Late 2020)
Geekbench AI Score
759
Single Precision Score
7400
Half Precision Score
5703
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | December 18 2024 08:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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 | 2.65 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
624
116.1 IPS |
|
|
Image Classification (HP)
|
100% |
5987
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5066
946.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
3433
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
192
3.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
1707
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
28394
33.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
22671
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
99% |
2717
216.1 IPS |
|
|
Object Detection (Q)
|
93% |
2553
203.7 IPS |
|
|
Face Detection (SP)
|
100% |
544
6.46 IPS |
|
|
Face Detection (HP)
|
100% |
4630
55.0 IPS |
|
|
Face Detection (Q)
|
100% |
4410
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
670
5.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
15966
123.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
22482
175.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3960
5.09 IPS |
|
|
Style Transfer (HP)
|
100% |
82285
105.8 IPS |
|
|
Style Transfer (Q)
|
96% |
83502
107.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1483
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13943
514.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15954
589.1 IPS |
|
|
Text Classification (SP)
|
100% |
510
680.6 IPS |
|
|
Text Classification (HP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2474
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1980
34.2 IPS |
