MacBook Air (2022)
Geekbench AI Score
3307
Single Precision Score
27788
Half Precision Score
31132
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:43 PM |
| Views | 10 |
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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1233
229.4 IPS |
|
|
Image Classification (HP)
|
100% |
13815
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
15125
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19053
308.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24043
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5979
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
106226
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106765
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
99% |
15698
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17705
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
34570
410.8 IPS |
|
|
Face Detection (Q)
|
100% |
46255
549.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5122
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86254
664.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
110789
866.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17066
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204821
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
191219
246.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3587
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42023
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49860
1.84 KIPS |
|
|
Text Classification (SP)
|
99% |
4065
5.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6345
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6370
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3287
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3998
69.1 IPS |
