MacBook Air (Late 2020)
Geekbench AI Score
3219
Single Precision Score
14630
Half Precision Score
13996
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | enigma707 |
| Upload Date | September 22 2024 08:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
6302
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5922
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6627
107.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6780
109.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6518
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
69412
81.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65858
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7309
581.4 IPS |
|
|
Object Detection (Q)
|
91% |
6777
541.5 IPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16892
200.7 IPS |
|
|
Face Detection (Q)
|
100% |
13259
157.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5808
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48370
372.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
49040
383.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16901
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121759
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114957
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3770
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23537
869.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24172
892.6 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2324
40.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2320
40.1 IPS |
