MacBook Air (2022)
Geekbench AI Score
3375
Single Precision Score
26453
Half Precision Score
29305
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | June 16 2025 04:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
13861
2.58 KIPS |
|
|
Image Classification (Q)
|
96% |
15325
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19455
315.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23260
377.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6776
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
105844
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106385
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
15687
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17662
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
33512
398.2 IPS |
|
|
Face Detection (Q)
|
100% |
42339
503.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5478
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87208
671.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107883
843.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18460
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203593
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
194638
251.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3971
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42253
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49907
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3647
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3716
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3762
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4088
70.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4230
73.1 IPS |
