MacBook Air (Late 2020)
Geekbench AI Score
623
Single Precision Score
6254
Half Precision Score
4826
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | December 27 2024 04:46 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 | 1.72 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
2852
530.4 IPS |
|
|
Image Classification (Q)
|
96% |
2577
481.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
141
2.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
1558
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
26946
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26030
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (HP)
|
99% |
2937
233.6 IPS |
|
|
Object Detection (Q)
|
93% |
2787
222.4 IPS |
|
|
Face Detection (SP)
|
100% |
608
7.23 IPS |
|
|
Face Detection (HP)
|
100% |
5006
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
5012
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1658
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
29849
230.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
34929
273.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5287
6.80 IPS |
|
|
Style Transfer (HP)
|
100% |
90931
116.9 IPS |
|
|
Style Transfer (Q)
|
96% |
88376
114.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1573
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14199
524.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16254
600.2 IPS |
|
|
Text Classification (SP)
|
100% |
158
210.4 IPS |
|
|
Text Classification (HP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1567
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (Q)
|
98% |
661
11.4 IPS |
