MacBook Air (2022)
Geekbench AI Score
3216
Single Precision Score
26456
Half Precision Score
29713
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:26 AM |
| Views | 8 |
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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
13547
2.52 KIPS |
|
|
Image Classification (Q)
|
97% |
15463
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18265
296.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23969
388.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5957
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
101313
118.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
103695
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.5 IPS |
|
|
Object Detection (HP)
|
99% |
16118
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
18274
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2753
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
33010
392.2 IPS |
|
|
Face Detection (Q)
|
100% |
44997
534.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4936
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
82295
634.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
103949
813.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16543
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201245
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
182068
235.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3344
123.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37167
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43418
1.60 KIPS |
|
|
Text Classification (SP)
|
99% |
3946
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6145
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6308
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3275
56.6 IPS |
