MacBook Air (Late 2020)
Geekbench AI Score
814
Single Precision Score
7455
Half Precision Score
5584
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 03:02 AM |
| Views | 3 |
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 | 2.53 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
704
131.0 IPS |
|
|
Image Classification (HP)
|
100% |
6143
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5582
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
480
7.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
3949
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
324
5.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
3347
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
48201
56.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
35315
41.4 IPS |
|
|
Object Detection (SP)
|
100% |
650
51.5 IPS |
|
|
Object Detection (HP)
|
99% |
5269
419.1 IPS |
|
|
Object Detection (Q)
|
93% |
4825
385.0 IPS |
|
|
Face Detection (SP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
8457
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
8483
100.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1918
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33815
260.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
37509
293.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3121
4.01 IPS |
|
|
Style Transfer (HP)
|
100% |
53065
68.2 IPS |
|
|
Style Transfer (Q)
|
96% |
49650
64.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
610
22.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8150
301.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8866
327.4 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.6 IPS |
|
|
Text Classification (HP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (Q)
|
93% |
1411
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (Q)
|
98% |
484
8.36 IPS |
