MacBook Air (2022)
Geekbench AI Score
6540
Single Precision Score
7467
Half Precision Score
5608
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | October 04 2024 12:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
3679
684.2 IPS |
|
|
Image Classification (HP)
|
100% |
3644
677.7 IPS |
|
|
Image Classification (Q)
|
99% |
3323
619.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3942
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5003
81.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
4900
79.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24524
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26260
30.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
23696
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3235
256.6 IPS |
|
|
Object Detection (HP)
|
100% |
3722
295.2 IPS |
|
|
Object Detection (Q)
|
91% |
2891
231.0 IPS |
|
|
Face Detection (SP)
|
100% |
10347
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
11906
141.5 IPS |
|
|
Face Detection (Q)
|
100% |
8194
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16637
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17799
137.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
2787
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42876
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48595
62.5 IPS |
|
|
Style Transfer (Q)
|
100% |
48247
62.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9809
362.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10058
371.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7512
278.3 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3696
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
903
15.6 IPS |
