MacBook Air (2022)
Geekbench AI Score
3475
Single Precision Score
6006
Half Precision Score
4893
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | magnusanton |
| Upload Date | November 09 2024 06:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
2534
471.2 IPS |
|
|
Image Classification (Q)
|
96% |
1781
332.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2885
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6892
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14961
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12995
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2907
231.4 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6061
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3564
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5706
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11722
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8093
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18831
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28689
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23996
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4143
153.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4849
179.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3612
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3754
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3615
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5839
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5940
102.6 IPS |
