MacBook Air (2022)
Geekbench AI Score
3130
Single Precision Score
26286
Half Precision Score
30153
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:51 PM |
| Views | 5 |
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 | 3.33 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1236
229.9 IPS |
|
|
Image Classification (HP)
|
100% |
13946
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15850
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17995
291.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19904
322.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5417
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
104564
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105735
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (HP)
|
99% |
10338
822.4 IPS |
|
|
Object Detection (Q)
|
89% |
17904
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
34344
408.1 IPS |
|
|
Face Detection (Q)
|
100% |
44357
527.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5195
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86200
664.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
98171
768.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16990
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
198311
254.9 IPS |
|
|
Style Transfer (Q)
|
96% |
191249
246.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3606
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40553
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49156
1.82 KIPS |
|
|
Text Classification (SP)
|
99% |
3998
5.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6333
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6277
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3851
66.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4049
70.0 IPS |
