MacBook Air (2022)
Geekbench AI Score
3185
Single Precision Score
27345
Half Precision Score
31058
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:44 AM |
| Views | 9 |
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 | 3.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1133
210.7 IPS |
|
|
Image Classification (HP)
|
100% |
11940
2.22 KIPS |
|
|
Image Classification (Q)
|
97% |
15281
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19456
315.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24306
394.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5916
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
107036
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106278
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.3 IPS |
|
|
Object Detection (HP)
|
99% |
15667
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17383
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
34640
411.6 IPS |
|
|
Face Detection (Q)
|
100% |
46288
550.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5106
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87048
670.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
111838
874.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16750
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205054
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
192196
248.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3603
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41073
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50898
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
6515
8.70 KIPS |
|
|
Text Classification (Q)
|
92% |
6104
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3120
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3938
68.1 IPS |
