MacBook Air (2022)
Geekbench AI Score
2952
Single Precision Score
23544
Half Precision Score
25242
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:19 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1216
226.1 IPS |
|
|
Image Classification (HP)
|
100% |
10230
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
13696
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18031
292.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17722
287.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4311
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
54251
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57411
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (HP)
|
99% |
15591
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
14481
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
34907
414.8 IPS |
|
|
Face Detection (Q)
|
100% |
46812
556.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4495
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
88156
679.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
81360
636.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13805
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
188831
242.7 IPS |
|
|
Style Transfer (Q)
|
96% |
120184
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3371
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38864
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50445
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
4076
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4408
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5682
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2866
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3968
68.6 IPS |
