MacBook Air (2022)
Geekbench AI Score
3373
Single Precision Score
27689
Half Precision Score
31129
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 09:37 PM |
| Views | 7 |
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 | 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% |
1268
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
13625
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15731
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19198
311.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24387
395.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5998
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
104082
121.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106637
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
99% |
15672
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
16939
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
34727
412.6 IPS |
|
|
Face Detection (Q)
|
100% |
46627
554.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5196
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86290
664.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
111352
871.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17353
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200616
257.9 IPS |
|
|
Style Transfer (Q)
|
96% |
192520
248.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3587
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41625
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50183
1.85 KIPS |
|
|
Text Classification (SP)
|
99% |
3978
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
6277
8.38 KIPS |
|
|
Text Classification (Q)
|
92% |
6104
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3953
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4028
69.6 IPS |
