MacBook Air (2022)
Geekbench AI Score
3516
Single Precision Score
26787
Half Precision Score
29773
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 11:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
14504
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
16040
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19114
309.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24178
391.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6856
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
106131
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105544
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
15728
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17931
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
33877
402.5 IPS |
|
|
Face Detection (Q)
|
100% |
43225
513.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5826
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87793
676.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
108258
846.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18984
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204136
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
196006
252.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4149
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41860
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48442
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3856
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4162
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4353
75.2 IPS |
