MacBook Air (2022)
Geekbench AI Score
3309
Single Precision Score
26836
Half Precision Score
29808
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | matta |
| Upload Date | October 27 2025 02:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
15176
2.82 KIPS |
|
|
Image Classification (Q)
|
96% |
15744
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19806
321.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24160
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6327
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
105722
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105589
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
99% |
15677
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17568
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
34453
409.4 IPS |
|
|
Face Detection (Q)
|
100% |
44142
524.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5455
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87603
674.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
109360
854.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18121
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205847
264.6 IPS |
|
|
Style Transfer (Q)
|
96% |
197045
254.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3803
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39381
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50145
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3799
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3773
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3601
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4361
75.4 IPS |
