MacBook Air (Late 2020)
Geekbench AI Score
436
Single Precision Score
5345
Half Precision Score
4058
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 03:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 1.58 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.9 IPS |
|
|
Image Classification (HP)
|
100% |
2781
517.2 IPS |
|
|
Image Classification (Q)
|
96% |
2215
413.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
137
2.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
1131
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
26618
31.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
26226
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (HP)
|
99% |
2878
229.0 IPS |
|
|
Object Detection (Q)
|
93% |
2748
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
475
5.65 IPS |
|
|
Face Detection (HP)
|
100% |
5641
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
5460
64.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
817
6.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
18294
140.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
22171
173.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2215
2.85 IPS |
|
|
Style Transfer (HP)
|
100% |
50405
64.8 IPS |
|
|
Style Transfer (Q)
|
96% |
50073
64.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
705
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7906
291.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9330
344.5 IPS |
|
|
Text Classification (SP)
|
100% |
147
196.3 IPS |
|
|
Text Classification (HP)
|
100% |
1652
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1497
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
655
11.3 IPS |
