MacBook Air (2022)
Geekbench AI Score
3423
Single Precision Score
5875
Half Precision Score
4769
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 08:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
2469
459.2 IPS |
|
|
Image Classification (Q)
|
96% |
1729
322.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2796
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6843
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
14859
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12924
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2854
227.2 IPS |
|
|
Object Detection (Q)
|
94% |
2055
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5616
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3375
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5642
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11618
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7999
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18558
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28352
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23608
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4785
176.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3539
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3653
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5777
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5757
99.5 IPS |
