MacBook Air (2022)
Geekbench AI Score
5716
Single Precision Score
6406
Half Precision Score
5494
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 18 2025 01:53 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3391
630.6 IPS |
|
|
Image Classification (HP)
|
100% |
3143
584.4 IPS |
|
|
Image Classification (Q)
|
97% |
2602
485.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3708
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4321
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4297
69.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19849
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21509
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19875
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3105
246.3 IPS |
|
|
Object Detection (HP)
|
100% |
3190
253.0 IPS |
|
|
Object Detection (Q)
|
91% |
2637
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
9366
111.3 IPS |
|
|
Face Detection (HP)
|
100% |
10279
122.1 IPS |
|
|
Face Detection (Q)
|
100% |
7081
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13797
106.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14602
112.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12436
97.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36180
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40386
51.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37743
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7936
293.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8221
303.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6524
240.9 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3788
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3762
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
525
9.08 IPS |
