MacBook Air (2022)
Geekbench AI Score
3204
Single Precision Score
4750
Half Precision Score
3943
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:43 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1517
282.0 IPS |
|
|
Image Classification (HP)
|
100% |
1924
357.9 IPS |
|
|
Image Classification (Q)
|
99% |
1923
358.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1302
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6122
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14434
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12296
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2279
181.4 IPS |
|
|
Object Detection (Q)
|
94% |
1749
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
2848
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
4388
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
2856
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5390
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8712
67.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4347
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17256
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27099
34.8 IPS |
|
|
Style Transfer (Q)
|
100% |
27071
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3583
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4792
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3531
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3163
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2751
47.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4499
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4501
77.8 IPS |
