MacBook Air (Late 2020)
Geekbench AI Score
1661
Single Precision Score
12166
Half Precision Score
12252
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | andyattebery |
| Upload Date | August 16 2024 06:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
819
152.3 IPS |
|
|
Image Classification (HP)
|
100% |
6288
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6464
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
600
9.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
4213
68.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
4133
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5138
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
66482
77.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
60223
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (HP)
|
99% |
7028
559.0 IPS |
|
|
Object Detection (Q)
|
93% |
6395
510.3 IPS |
|
|
Face Detection (SP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
11339
134.7 IPS |
|
|
Face Detection (Q)
|
100% |
12446
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3141
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43383
334.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
43800
338.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8660
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
112943
145.2 IPS |
|
|
Style Transfer (Q)
|
100% |
120934
155.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2283
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17668
652.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20294
751.9 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.9 IPS |
|
|
Text Classification (HP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (Q)
|
93% |
2658
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2175
37.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2084
36.0 IPS |
