MacBook Air (2022)
Geekbench AI Score
3214
Single Precision Score
5963
Half Precision Score
4897
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:38 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1213
225.5 IPS |
|
|
Image Classification (HP)
|
100% |
2443
454.3 IPS |
|
|
Image Classification (Q)
|
96% |
1705
318.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2378
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5937
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
14783
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12591
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
97% |
2664
212.1 IPS |
|
|
Object Detection (Q)
|
94% |
1952
155.6 IPS |
|
|
Face Detection (SP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5428
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3227
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5024
38.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9539
73.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7342
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15876
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28383
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23140
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3558
131.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4734
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3550
131.1 IPS |
|
|
Text Classification (SP)
|
99% |
3935
5.25 KIPS |
|
|
Text Classification (HP)
|
99% |
6167
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6309
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5798
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5753
99.4 IPS |
