MacBook Air (2022)
Geekbench AI Score
3332
Single Precision Score
27784
Half Precision Score
30692
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 09:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
14112
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
15553
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19439
315.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23951
388.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5978
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
106477
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105167
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
99% |
15653
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17809
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2866
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
34344
408.1 IPS |
|
|
Face Detection (Q)
|
100% |
46359
550.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5113
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
85850
661.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
110163
861.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17085
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200881
258.2 IPS |
|
|
Style Transfer (Q)
|
96% |
188149
242.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3606
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41799
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44260
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
4084
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
6312
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6249
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3272
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4001
69.1 IPS |
