MacBook Air (2022)
Geekbench AI Score
3453
Single Precision Score
26567
Half Precision Score
29117
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jordan777 |
| Upload Date | February 16 2025 11:51 PM |
| Views | 6 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1370
254.8 IPS |
|
|
Image Classification (HP)
|
100% |
14127
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
15546
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1564
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19315
313.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23537
381.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6855
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
107014
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106752
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.5 IPS |
|
|
Object Detection (HP)
|
99% |
15718
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17718
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
33731
400.8 IPS |
|
|
Face Detection (Q)
|
100% |
41118
488.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5358
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87547
674.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
108774
850.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18913
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202554
260.4 IPS |
|
|
Style Transfer (Q)
|
96% |
195772
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4132
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40982
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49306
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3782
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4098
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3876
67.0 IPS |
