MacBook Air (2022)
Geekbench AI Score
2342
Single Precision Score
18283
Half Precision Score
24747
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:36 PM |
| Views | 7 |
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 | 3.28 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (HP)
|
100% |
5732
1.07 KIPS |
|
|
Image Classification (Q)
|
97% |
6429
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
8361
135.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10020
162.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4101
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
73761
86.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102631
120.3 IPS |
|
|
Object Detection (SP)
|
100% |
1274
101.1 IPS |
|
|
Object Detection (HP)
|
99% |
10394
826.8 IPS |
|
|
Object Detection (Q)
|
89% |
17531
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2827
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
16137
191.7 IPS |
|
|
Face Detection (Q)
|
100% |
38431
456.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5076
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41407
319.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
89169
697.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16938
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
178061
228.9 IPS |
|
|
Style Transfer (Q)
|
96% |
192274
248.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3357
124.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39653
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49043
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
2671
3.56 KIPS |
|
|
Text Classification (HP)
|
99% |
6293
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6386
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3161
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3826
65.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3603
62.3 IPS |
