MacBook Air (2022)
Geekbench AI Score
3473
Single Precision Score
5933
Half Precision Score
5185
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ESPD |
| Upload Date | November 12 2024 03:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.7 IPS |
|
|
Image Classification (Q)
|
99% |
2462
459.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2491
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6866
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14827
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12655
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1550
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2859
227.6 IPS |
|
|
Object Detection (Q)
|
94% |
2075
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5927
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
3515
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5753
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11615
89.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
11562
89.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18680
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28504
36.6 IPS |
|
|
Style Transfer (Q)
|
100% |
28554
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4064
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4811
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3499
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3683
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5842
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5836
100.8 IPS |
