MacBook Air (Late 2020)
Geekbench AI Score
534
Single Precision Score
5394
Half Precision Score
4186
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 11 2024 03:01 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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
308
57.3 IPS |
|
|
Image Classification (HP)
|
100% |
2811
522.8 IPS |
|
|
Image Classification (Q)
|
96% |
2629
491.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
137
2.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
1575
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
26937
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26139
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
99% |
2908
231.3 IPS |
|
|
Object Detection (Q)
|
93% |
2788
222.5 IPS |
|
|
Face Detection (SP)
|
100% |
566
6.73 IPS |
|
|
Face Detection (HP)
|
100% |
4943
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
5158
61.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
963
7.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
19746
152.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21485
167.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2631
3.38 IPS |
|
|
Style Transfer (HP)
|
100% |
53828
69.2 IPS |
|
|
Style Transfer (Q)
|
96% |
55546
71.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
768
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8477
313.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9351
345.3 IPS |
|
|
Text Classification (SP)
|
100% |
130
173.6 IPS |
|
|
Text Classification (HP)
|
100% |
1622
2.16 KIPS |
|
|
Text Classification (Q)
|
93% |
1599
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
98% |
685
11.8 IPS |
