MacBook Air (2022)
Geekbench AI Score
2064
Single Precision Score
11774
Half Precision Score
12541
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ZBOYDMARK |
| Upload Date | August 19 2024 06:40 PM |
| Views | 2 |
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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1124
209.1 IPS |
|
|
Image Classification (HP)
|
100% |
7505
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
7753
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5070
82.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
5090
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5840
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
88950
103.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
86983
102.0 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.5 IPS |
|
|
Object Detection (HP)
|
99% |
8093
643.8 IPS |
|
|
Object Detection (Q)
|
93% |
9038
721.2 IPS |
|
|
Face Detection (SP)
|
100% |
2096
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
11080
131.7 IPS |
|
|
Face Detection (Q)
|
100% |
12864
152.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3608
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48779
375.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
54278
419.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10557
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
138053
177.5 IPS |
|
|
Style Transfer (Q)
|
100% |
138111
177.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2833
104.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19386
715.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25118
930.6 IPS |
|
|
Text Classification (SP)
|
100% |
678
905.6 IPS |
|
|
Text Classification (HP)
|
100% |
546
728.6 IPS |
|
|
Text Classification (Q)
|
93% |
538
721.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2367
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2382
41.2 IPS |
