MacBook Air (2022)
Geekbench AI Score
5726
Single Precision Score
6224
Half Precision Score
5581
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 11:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3336
620.3 IPS |
|
|
Image Classification (HP)
|
100% |
3220
598.8 IPS |
|
|
Image Classification (Q)
|
97% |
2416
450.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3608
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4266
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4181
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19694
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21218
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19527
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
3008
238.6 IPS |
|
|
Object Detection (HP)
|
100% |
2949
233.9 IPS |
|
|
Object Detection (Q)
|
91% |
2379
190.1 IPS |
|
|
Face Detection (SP)
|
100% |
8651
102.8 IPS |
|
|
Face Detection (HP)
|
100% |
9165
108.9 IPS |
|
|
Face Detection (Q)
|
100% |
7021
83.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13578
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14406
111.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11031
86.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36171
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40215
51.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37456
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7899
291.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8424
311.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6262
231.2 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3719
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
98% |
926
16.0 IPS |
