MacBook Air (2022)
Geekbench AI Score
1815
Single Precision Score
16156
Half Precision Score
17934
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:46 PM |
| 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 | 1.93 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
314
58.5 IPS |
|
|
Image Classification (HP)
|
100% |
11097
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
12430
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7406
120.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10077
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3469
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
68219
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66336
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
883
70.0 IPS |
|
|
Object Detection (HP)
|
99% |
6822
542.7 IPS |
|
|
Object Detection (Q)
|
89% |
12164
973.7 IPS |
|
|
Face Detection (SP)
|
100% |
2063
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
21734
258.2 IPS |
|
|
Face Detection (Q)
|
100% |
15788
187.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2256
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
31011
238.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
41147
321.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8053
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
139580
179.4 IPS |
|
|
Style Transfer (Q)
|
96% |
130307
168.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2250
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30882
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34671
1.28 KIPS |
|
|
Text Classification (SP)
|
99% |
2624
3.50 KIPS |
|
|
Text Classification (HP)
|
99% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2020
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2702
46.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2904
50.2 IPS |
