MacBook Air (2022)
Geekbench AI Score
3247
Single Precision Score
27672
Half Precision Score
30749
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:34 PM |
| Views | 14 |
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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.2 IPS |
|
|
Image Classification (HP)
|
100% |
14029
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
14747
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19060
309.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23699
384.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5970
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
105443
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104821
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1250
99.2 IPS |
|
|
Object Detection (HP)
|
99% |
15231
1.21 KIPS |
|
|
Object Detection (Q)
|
89% |
17381
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
33756
401.1 IPS |
|
|
Face Detection (Q)
|
100% |
44118
524.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4858
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86638
667.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
110673
865.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17073
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205083
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
191837
247.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43399
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50506
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
4102
5.47 KIPS |
|
|
Text Classification (HP)
|
99% |
6172
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6315
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3283
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3817
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3973
68.7 IPS |
