MacBook Air (2022)
Geekbench AI Score
1558
Single Precision Score
10243
Half Precision Score
10359
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | sunjw8888 |
| Upload Date | August 16 2024 02:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.16 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
874
162.5 IPS |
|
|
Image Classification (HP)
|
100% |
6536
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
6203
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
5046
81.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
4911
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5359
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
76020
88.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
63342
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (HP)
|
99% |
7146
568.4 IPS |
|
|
Object Detection (Q)
|
93% |
7201
574.5 IPS |
|
|
Face Detection (SP)
|
100% |
1350
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
9990
118.7 IPS |
|
|
Face Detection (Q)
|
100% |
11264
133.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2754
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44826
345.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
47004
363.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7854
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
117569
151.1 IPS |
|
|
Style Transfer (Q)
|
100% |
118085
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2226
82.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15694
579.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21935
812.6 IPS |
|
|
Text Classification (SP)
|
100% |
526
702.7 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.9 IPS |
|
|
Text Classification (Q)
|
93% |
421
564.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1775
30.7 IPS |
