MacBook Air (2022)
Geekbench AI Score
2873
Single Precision Score
25355
Half Precision Score
29275
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:27 AM |
| Views | 12 |
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 | 3.23 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1019
189.5 IPS |
|
|
Image Classification (HP)
|
100% |
13467
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
15197
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18773
304.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22841
370.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4546
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
84761
98.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105756
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
955
75.8 IPS |
|
|
Object Detection (HP)
|
99% |
13546
1.08 KIPS |
|
|
Object Detection (Q)
|
89% |
15341
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
2159
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
29395
349.3 IPS |
|
|
Face Detection (Q)
|
100% |
46078
547.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4952
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
76370
588.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
93388
730.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16148
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
181373
233.2 IPS |
|
|
Style Transfer (Q)
|
96% |
189243
244.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3508
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39932
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44149
1.63 KIPS |
|
|
Text Classification (SP)
|
99% |
4015
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
6458
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6323
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3603
62.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3612
62.4 IPS |
