MacBook Air (2022)
Geekbench AI Score
3452
Single Precision Score
26627
Half Precision Score
29738
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dimgod728 |
| Upload Date | February 22 2025 08:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
14787
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
15455
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19099
309.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23895
387.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6790
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
106029
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106275
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
15701
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17858
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
33289
395.5 IPS |
|
|
Face Detection (Q)
|
100% |
42932
510.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5706
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87216
671.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
110120
860.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18686
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201578
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
194419
250.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41430
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51526
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3759
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3743
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4181
72.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4355
75.3 IPS |
