MacBook Air (Late 2020)
Geekbench AI Score
262
Single Precision Score
3124
Half Precision Score
2646
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 08:32 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 | 855 MHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (HP)
|
100% |
1456
270.8 IPS |
|
|
Image Classification (Q)
|
96% |
1407
262.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
67
1.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
87
1.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
688
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15659
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16795
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
99% |
1658
131.9 IPS |
|
|
Object Detection (Q)
|
93% |
1896
151.3 IPS |
|
|
Face Detection (SP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (HP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
4269
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
392
3.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
12339
95.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14086
110.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1610
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
31612
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37938
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
413
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4605
170.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5235
193.3 IPS |
|
|
Text Classification (SP)
|
100% |
80
107.0 IPS |
|
|
Text Classification (HP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
589
790.5 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
100% |
397
6.83 IPS |
|
|
Machine Translation (Q)
|
98% |
614
10.6 IPS |
