MacBook Air (2022)
Geekbench AI Score
2655
Single Precision Score
23994
Half Precision Score
26834
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:13 AM |
| Views | 11 |
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 | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1208
224.7 IPS |
|
|
Image Classification (HP)
|
100% |
13259
2.47 KIPS |
|
|
Image Classification (Q)
|
97% |
15319
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18158
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22993
372.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5014
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
105010
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105913
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (HP)
|
99% |
11747
934.5 IPS |
|
|
Object Detection (Q)
|
89% |
15846
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
2385
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
23114
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
33480
397.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4862
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
80732
622.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
88864
695.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10149
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
168200
216.2 IPS |
|
|
Style Transfer (Q)
|
96% |
187363
241.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32275
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41691
1.54 KIPS |
|
|
Text Classification (SP)
|
99% |
4196
5.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5979
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5828
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2418
41.8 IPS |
