MacBook Air (2022)
Geekbench AI Score
3302
Single Precision Score
26992
Half Precision Score
29292
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 01:19 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.8 IPS |
|
|
Image Classification (HP)
|
100% |
14959
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
15338
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19738
320.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24059
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6309
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
104528
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106849
125.2 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
99% |
15902
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17261
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
33990
403.9 IPS |
|
|
Face Detection (Q)
|
100% |
43620
518.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5445
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87460
673.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
107670
841.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18165
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202475
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
190691
246.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40962
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42697
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4236
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4471
77.3 IPS |
