MacBook Air (2022)
Geekbench AI Score
2036
Single Precision Score
11697
Half Precision Score
12648
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 16 2024 01:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1174
218.3 IPS |
|
|
Image Classification (HP)
|
100% |
7457
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
7834
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5069
82.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
5057
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5957
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
88053
102.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
86892
101.9 IPS |
|
|
Object Detection (SP)
|
100% |
1270
100.7 IPS |
|
|
Object Detection (HP)
|
99% |
8520
677.8 IPS |
|
|
Object Detection (Q)
|
93% |
8932
712.7 IPS |
|
|
Face Detection (SP)
|
100% |
2133
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
11002
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
12810
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3649
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50664
390.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
55638
430.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10551
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
138987
178.7 IPS |
|
|
Style Transfer (Q)
|
100% |
139494
179.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2880
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19835
732.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25194
933.4 IPS |
|
|
Text Classification (SP)
|
100% |
495
660.6 IPS |
|
|
Text Classification (HP)
|
100% |
454
605.3 IPS |
|
|
Text Classification (Q)
|
93% |
563
755.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2424
41.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2418
41.8 IPS |
