MacBook Air (2022)
Geekbench AI Score
3217
Single Precision Score
27117
Half Precision Score
30730
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:39 AM |
| Views | 8 |
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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1155
214.9 IPS |
|
|
Image Classification (HP)
|
100% |
12765
2.37 KIPS |
|
|
Image Classification (Q)
|
97% |
14853
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18978
307.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24051
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6028
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
104842
122.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105443
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (HP)
|
99% |
15411
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17777
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2249
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
31360
372.6 IPS |
|
|
Face Detection (Q)
|
100% |
44718
531.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5191
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86898
669.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
110898
867.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17364
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
206016
264.8 IPS |
|
|
Style Transfer (Q)
|
96% |
192889
248.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3676
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42735
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48528
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
6239
8.33 KIPS |
|
|
Text Classification (Q)
|
92% |
6328
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3670
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3819
66.0 IPS |
