MacBook Air (2022)
Geekbench AI Score
3301
Single Precision Score
24368
Half Precision Score
26419
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | systemd |
| Upload Date | October 01 2025 04:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
14256
2.65 KIPS |
|
|
Image Classification (Q)
|
99% |
15316
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16401
265.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
16399
265.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6292
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
99911
116.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
101255
118.8 IPS |
|
|
Object Detection (SP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (HP)
|
99% |
15023
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17034
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
23944
284.5 IPS |
|
|
Face Detection (Q)
|
100% |
36530
434.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5367
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75114
578.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
81757
632.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18125
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
154922
199.2 IPS |
|
|
Style Transfer (Q)
|
100% |
154430
198.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3823
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43593
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
46572
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2384
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4058
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4268
73.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4437
76.7 IPS |
