MacBook Air (Late 2020)
Geekbench AI Score
589
Single Precision Score
5257
Half Precision Score
4069
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 11 2024 03:28 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 | 1.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
2846
529.2 IPS |
|
|
Image Classification (Q)
|
96% |
2535
473.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
139
2.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
1306
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
24841
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24811
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (HP)
|
99% |
2816
224.0 IPS |
|
|
Object Detection (Q)
|
93% |
2768
220.9 IPS |
|
|
Face Detection (SP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
5255
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
5217
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
983
7.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
19882
153.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
22147
173.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2789
3.59 IPS |
|
|
Style Transfer (HP)
|
100% |
51452
66.1 IPS |
|
|
Style Transfer (Q)
|
96% |
49373
63.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7920
292.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9349
345.2 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.6 IPS |
|
|
Text Classification (HP)
|
100% |
1623
2.17 KIPS |
|
|
Text Classification (Q)
|
93% |
1640
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
98% |
588
10.2 IPS |
