MacBook Air (2022)
Geekbench AI Score
3091
Single Precision Score
25366
Half Precision Score
28547
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:05 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1256
233.6 IPS |
|
|
Image Classification (HP)
|
100% |
13508
2.51 KIPS |
|
|
Image Classification (Q)
|
97% |
14009
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
948
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15374
249.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23881
387.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5899
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
106044
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105340
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (HP)
|
99% |
15738
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17848
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2819
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
27514
326.9 IPS |
|
|
Face Detection (Q)
|
100% |
36391
432.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3811
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72290
556.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
90579
708.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16906
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203164
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
192235
248.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3531
130.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42548
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50413
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
4024
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6554
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6362
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2824
48.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2812
48.6 IPS |
