MacBook Air (Late 2020)
Geekbench AI Score
496
Single Precision Score
5132
Half Precision Score
4164
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 03:14 AM |
| Views | 4 |
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 | 1.25 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
2279
423.8 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
161
2.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
173
2.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
1906
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
26963
31.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
26295
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
99% |
2802
222.9 IPS |
|
|
Object Detection (Q)
|
93% |
2811
224.3 IPS |
|
|
Face Detection (SP)
|
100% |
563
6.69 IPS |
|
|
Face Detection (HP)
|
100% |
5349
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
5189
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
924
7.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
19484
150.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21706
169.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2743
3.53 IPS |
|
|
Style Transfer (HP)
|
100% |
51229
65.9 IPS |
|
|
Style Transfer (Q)
|
96% |
50954
65.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6889
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9246
341.4 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.8 IPS |
|
|
Text Classification (HP)
|
100% |
1593
2.13 KIPS |
|
|
Text Classification (Q)
|
93% |
1609
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
654
11.3 IPS |
