MacBook Air (Late 2020)
Geekbench AI Score
3203
Single Precision Score
15839
Half Precision Score
15429
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | manba |
| Upload Date | April 06 2025 06:49 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
6273
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5932
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9793
158.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9962
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6486
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
68742
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66710
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7457
593.2 IPS |
|
|
Object Detection (Q)
|
91% |
6701
535.4 IPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16788
199.5 IPS |
|
|
Face Detection (Q)
|
100% |
15301
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48580
374.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
48610
379.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16949
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121758
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114929
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3651
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23302
860.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23991
885.9 IPS |
|
|
Text Classification (SP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3816
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3801
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3713
64.2 IPS |
