MacBook Air (Late 2020)
Geekbench AI Score
3124
Single Precision Score
15716
Half Precision Score
15494
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sarcoma |
| Upload Date | May 05 2025 12:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.16 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
6276
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
6007
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9464
153.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9917
160.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6402
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
68735
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66649
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
99% |
7332
583.2 IPS |
|
|
Object Detection (Q)
|
91% |
6918
552.8 IPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
16302
193.7 IPS |
|
|
Face Detection (Q)
|
100% |
15185
180.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5568
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48274
371.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
48407
378.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16499
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121688
156.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114269
147.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3648
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23621
872.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23955
884.5 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3364
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3627
62.7 IPS |
