MacBook Air (2022)
Geekbench AI Score
2008
Single Precision Score
12050
Half Precision Score
13343
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 30 2024 02:53 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1153
214.4 IPS |
|
|
Image Classification (HP)
|
100% |
7152
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
7587
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5076
82.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8276
134.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5956
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
86911
101.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
89515
104.9 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
99% |
8544
679.7 IPS |
|
|
Object Detection (Q)
|
93% |
8800
702.1 IPS |
|
|
Face Detection (SP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
11103
131.9 IPS |
|
|
Face Detection (Q)
|
100% |
11953
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3640
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
49174
378.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
59455
464.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10683
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
140340
180.4 IPS |
|
|
Style Transfer (Q)
|
95% |
126425
163.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3046
112.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19163
707.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24895
919.2 IPS |
|
|
Text Classification (SP)
|
100% |
419
559.1 IPS |
|
|
Text Classification (HP)
|
100% |
693
925.6 IPS |
|
|
Text Classification (Q)
|
93% |
689
924.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2355
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2347
40.6 IPS |
