MacBook Air (2022)
Geekbench AI Score
3194
Single Precision Score
5779
Half Precision Score
5051
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | theodore927 |
| Upload Date | April 04 2025 07:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1205
224.1 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.5 IPS |
|
|
Image Classification (Q)
|
99% |
2282
425.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2262
36.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2311
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6374
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
14788
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12605
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.7 IPS |
|
|
Object Detection (HP)
|
97% |
2738
218.0 IPS |
|
|
Object Detection (Q)
|
94% |
1992
158.7 IPS |
|
|
Face Detection (SP)
|
100% |
2781
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
5475
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3256
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5235
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10493
81.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
10662
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17614
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28573
36.7 IPS |
|
|
Style Transfer (Q)
|
100% |
28615
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5017
185.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3582
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3837
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3811
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6085
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6026
104.1 IPS |
