MacBook Air (2022)
Geekbench AI Score
6682
Single Precision Score
7662
Half Precision Score
6736
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 11:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
3733
694.3 IPS |
|
|
Image Classification (HP)
|
100% |
3707
689.5 IPS |
|
|
Image Classification (Q)
|
97% |
3031
565.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3986
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5008
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5145
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24419
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26360
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24463
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3498
277.5 IPS |
|
|
Object Detection (HP)
|
100% |
3777
299.6 IPS |
|
|
Object Detection (Q)
|
91% |
3111
248.6 IPS |
|
|
Face Detection (SP)
|
100% |
10290
122.3 IPS |
|
|
Face Detection (HP)
|
100% |
12063
143.3 IPS |
|
|
Face Detection (Q)
|
100% |
8413
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16806
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18027
138.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
15117
118.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42736
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48858
62.8 IPS |
|
|
Style Transfer (Q)
|
96% |
45501
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9936
366.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10284
379.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8264
305.1 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3857
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
879
15.2 IPS |
