MacBook Air (2022)
Geekbench AI Score
3251
Single Precision Score
26936
Half Precision Score
29566
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 08:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
14526
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
15890
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19619
318.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23820
386.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6279
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
105995
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105224
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
99% |
16276
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17874
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
34445
409.3 IPS |
|
|
Face Detection (Q)
|
100% |
43875
521.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5257
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87804
676.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
112203
876.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18087
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
206305
265.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196273
253.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42228
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47551
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3719
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3713
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4175
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4204
72.6 IPS |
