MacBook Air (2022)
Geekbench AI Score
6733
Single Precision Score
7571
Half Precision Score
5941
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | theodore927 |
| Upload Date | April 04 2025 07:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3445
640.6 IPS |
|
|
Image Classification (HP)
|
100% |
3573
664.6 IPS |
|
|
Image Classification (Q)
|
99% |
2828
527.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5195
84.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5444
88.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
5492
89.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22538
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24627
28.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
23308
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
3406
270.2 IPS |
|
|
Object Detection (HP)
|
100% |
3590
284.7 IPS |
|
|
Object Detection (Q)
|
92% |
3198
255.3 IPS |
|
|
Face Detection (SP)
|
100% |
9156
108.8 IPS |
|
|
Face Detection (HP)
|
100% |
10937
129.9 IPS |
|
|
Face Detection (Q)
|
100% |
9075
107.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15478
119.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16688
128.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
2767
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
39079
50.2 IPS |
|
|
Style Transfer (HP)
|
100% |
46481
59.8 IPS |
|
|
Style Transfer (Q)
|
100% |
45767
58.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9205
339.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9692
357.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8216
304.4 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3835
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1293
22.3 IPS |
