MacBook Air (Late 2020)
Geekbench AI Score
2208
Single Precision Score
11374
Half Precision Score
11109
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | atrophyalive |
| Upload Date | December 20 2024 04:14 AM |
| Views | 24 |
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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
938
174.5 IPS |
|
|
Image Classification (HP)
|
100% |
4675
869.4 IPS |
|
|
Image Classification (Q)
|
96% |
4289
801.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7388
119.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7695
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4282
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
47761
55.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
46149
54.1 IPS |
|
|
Object Detection (SP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (HP)
|
99% |
5032
400.3 IPS |
|
|
Object Detection (Q)
|
91% |
4798
383.4 IPS |
|
|
Face Detection (SP)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
10842
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
10313
122.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3789
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35890
276.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
35792
279.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11280
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
90786
116.7 IPS |
|
|
Style Transfer (Q)
|
96% |
86232
111.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2535
93.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18165
670.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18073
667.3 IPS |
|
|
Text Classification (SP)
|
100% |
1559
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (Q)
|
93% |
2646
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2574
44.5 IPS |
