MacBook Air (2022)
Geekbench AI Score
3197
Single Precision Score
23473
Half Precision Score
25900
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | theodore927 |
| Upload Date | April 04 2025 07:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
14027
2.61 KIPS |
|
|
Image Classification (Q)
|
99% |
14717
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15672
254.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
15692
254.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6474
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
101327
118.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
101486
119.0 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (HP)
|
99% |
14805
1.18 KIPS |
|
|
Object Detection (Q)
|
91% |
17702
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
22144
263.1 IPS |
|
|
Face Detection (Q)
|
100% |
34140
405.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5203
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75206
579.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
83609
646.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17733
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
153826
197.7 IPS |
|
|
Style Transfer (Q)
|
100% |
153418
197.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3601
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41830
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
50224
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3837
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3818
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3369
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3899
67.4 IPS |
