MacBook Air (Late 2020)
Geekbench AI Score
344
Single Precision Score
3925
Half Precision Score
3230
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 19 2024 09:16 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 | 818 MHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
84
15.6 IPS |
|
|
Image Classification (HP)
|
100% |
1670
310.6 IPS |
|
|
Image Classification (Q)
|
96% |
1552
289.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
125
2.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
981
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
21204
24.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26972
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (HP)
|
99% |
2761
219.6 IPS |
|
|
Object Detection (Q)
|
93% |
3051
243.4 IPS |
|
|
Face Detection (SP)
|
100% |
682
8.10 IPS |
|
|
Face Detection (HP)
|
100% |
4715
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
5024
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
15448
119.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
15137
118.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1656
2.13 IPS |
|
|
Style Transfer (HP)
|
100% |
33014
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36162
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4854
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6880
254.1 IPS |
|
|
Text Classification (SP)
|
100% |
85
113.1 IPS |
|
|
Text Classification (HP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
844
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (Q)
|
98% |
486
8.40 IPS |
