MacBook Air (Late 2020)
Geekbench AI Score
2832
Single Precision Score
4289
Half Precision Score
3707
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | moham96 |
| Upload Date | June 07 2025 09:09 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.4 IPS |
|
|
Image Classification (Q)
|
96% |
1273
237.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1194
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1692
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5862
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13558
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11659
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
97% |
1942
154.6 IPS |
|
|
Object Detection (Q)
|
94% |
1521
121.2 IPS |
|
|
Face Detection (SP)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4045
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
2587
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5229
40.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8169
63.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6148
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15574
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24657
31.7 IPS |
|
|
Style Transfer (Q)
|
96% |
20977
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3369
124.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4272
157.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3422
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3652
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3078
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3083
53.3 IPS |
