MacBook Air (2022)
Geekbench AI Score
2216
Single Precision Score
12063
Half Precision Score
13616
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | SteveJiakai |
| Upload Date | February 19 2025 10:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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% |
1187
220.8 IPS |
|
|
Image Classification (HP)
|
100% |
7196
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
7532
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5008
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8084
131.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5938
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
86962
101.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
87673
102.8 IPS |
|
|
Object Detection (SP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (HP)
|
99% |
8395
667.8 IPS |
|
|
Object Detection (Q)
|
93% |
8796
701.9 IPS |
|
|
Face Detection (SP)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
11046
131.3 IPS |
|
|
Face Detection (Q)
|
100% |
13279
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3902
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48171
371.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
61302
479.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10660
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
138144
177.6 IPS |
|
|
Style Transfer (Q)
|
95% |
126159
162.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3065
113.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19133
706.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24700
912.1 IPS |
|
|
Text Classification (SP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
744
992.5 IPS |
|
|
Text Classification (Q)
|
93% |
778
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2371
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2364
40.9 IPS |
