MacBook Air (2022)
Geekbench AI Score
3234
Single Precision Score
4744
Half Precision Score
3916
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jamiesmithnc |
| Upload Date | August 16 2024 12:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1507
280.3 IPS |
|
|
Image Classification (HP)
|
100% |
1910
355.2 IPS |
|
|
Image Classification (Q)
|
99% |
1900
354.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1301
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6122
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14522
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12386
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2252
179.3 IPS |
|
|
Object Detection (Q)
|
94% |
1722
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
2859
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4378
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
2844
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5373
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8563
66.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4061
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17328
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27115
34.9 IPS |
|
|
Style Transfer (Q)
|
100% |
27125
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3662
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3567
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3163
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2974
51.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4495
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4557
78.7 IPS |
