MacBook Air (2022)
Geekbench AI Score
3092
Single Precision Score
26294
Half Precision Score
28999
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 07 2025 03:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5057f) |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1235
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
14193
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
15310
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19117
309.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23386
379.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6084
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
104049
121.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104934
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (HP)
|
99% |
16223
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17256
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
2708
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
33333
396.1 IPS |
|
|
Face Detection (Q)
|
100% |
42161
501.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5118
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86344
665.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
110468
863.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17122
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
199847
256.9 IPS |
|
|
Style Transfer (Q)
|
96% |
189638
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3540
130.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42080
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50076
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3767
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3745
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3253
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3783
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3917
67.7 IPS |
