MacBook Air (2022)
Geekbench AI Score
2045
Single Precision Score
11953
Half Precision Score
12654
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | trauts |
| Upload Date | August 15 2024 07:49 PM |
| Views | 3 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1135
211.1 IPS |
|
|
Image Classification (HP)
|
100% |
7239
1.35 KIPS |
|
|
Image Classification (Q)
|
99% |
7692
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5101
82.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5081
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5899
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
87851
102.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
86965
102.0 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
99% |
8410
669.0 IPS |
|
|
Object Detection (Q)
|
93% |
8869
707.7 IPS |
|
|
Face Detection (SP)
|
100% |
2117
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
11455
136.1 IPS |
|
|
Face Detection (Q)
|
100% |
13125
156.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3664
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
50096
386.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
54652
422.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10498
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
137944
177.3 IPS |
|
|
Style Transfer (Q)
|
100% |
138595
178.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2878
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19421
717.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25155
931.9 IPS |
|
|
Text Classification (SP)
|
100% |
564
752.7 IPS |
|
|
Text Classification (HP)
|
100% |
599
799.3 IPS |
|
|
Text Classification (Q)
|
93% |
593
795.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2370
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2356
40.7 IPS |
