MacBook Air (2022)
Geekbench AI Score
3342
Single Precision Score
28208
Half Precision Score
31509
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 11:31 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1211
225.2 IPS |
|
|
Image Classification (HP)
|
100% |
14431
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
16269
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19444
315.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24284
393.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6088
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
104731
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105428
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
99% |
16063
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
18319
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
2947
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
35022
416.1 IPS |
|
|
Face Detection (Q)
|
100% |
47179
560.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5232
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87421
673.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
112441
879.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17446
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202201
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193362
249.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43402
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47185
1.74 KIPS |
|
|
Text Classification (SP)
|
99% |
3936
5.25 KIPS |
|
|
Text Classification (HP)
|
99% |
6197
8.27 KIPS |
|
|
Text Classification (Q)
|
92% |
6172
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4058
69.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4232
73.1 IPS |
