MacBook Air (2022)
Geekbench AI Score
3329
Single Precision Score
28134
Half Precision Score
31479
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 08:03 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
14203
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
15823
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19354
313.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24339
394.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5994
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
107017
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105676
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.7 IPS |
|
|
Object Detection (HP)
|
99% |
16121
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
18463
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
34974
415.6 IPS |
|
|
Face Detection (Q)
|
100% |
46727
555.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5107
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87714
675.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
112218
877.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16842
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
205910
264.7 IPS |
|
|
Style Transfer (Q)
|
96% |
193657
249.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3639
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43313
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50806
1.88 KIPS |
|
|
Text Classification (SP)
|
99% |
4226
5.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6345
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6307
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3774
65.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3908
67.5 IPS |
