MacBook Air (Late 2020)
Geekbench AI Score
3238
Single Precision Score
5321
Half Precision Score
4410
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 17 2025 06:03 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (Q)
|
96% |
1563
291.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2574
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13920
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12039
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2415
192.3 IPS |
|
|
Object Detection (Q)
|
94% |
1792
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5475
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3206
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5804
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11042
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7656
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16742
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26004
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21830
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4477
165.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3418
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4141
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4148
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2591
44.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3909
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4227
73.0 IPS |
