MacBook Air (Late 2020)
Geekbench AI Score
3213
Single Precision Score
15393
Half Precision Score
15076
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 11:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
6065
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5728
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9540
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9815
159.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
68074
79.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65712
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7089
563.9 IPS |
|
|
Object Detection (Q)
|
91% |
6458
516.0 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
15420
183.2 IPS |
|
|
Face Detection (Q)
|
100% |
14408
171.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47587
366.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47612
372.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16688
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120890
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114901
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3714
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23772
877.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24331
898.4 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3189
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3360
58.1 IPS |
