MacBook Air (2022)
Geekbench AI Score
4942
Single Precision Score
5154
Half Precision Score
4615
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | sunjw8888 |
| Upload Date | August 16 2024 02:51 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.07 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3214
597.8 IPS |
|
|
Image Classification (HP)
|
100% |
3097
575.9 IPS |
|
|
Image Classification (Q)
|
99% |
2738
510.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3597
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4111
66.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
4047
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18239
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18168
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18363
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2782
220.7 IPS |
|
|
Object Detection (HP)
|
100% |
3058
242.6 IPS |
|
|
Object Detection (Q)
|
92% |
2424
193.5 IPS |
|
|
Face Detection (SP)
|
100% |
8377
99.5 IPS |
|
|
Face Detection (HP)
|
100% |
9416
111.9 IPS |
|
|
Face Detection (Q)
|
100% |
6449
76.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13705
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14640
112.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
14364
111.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32664
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38767
49.8 IPS |
|
|
Style Transfer (Q)
|
100% |
36563
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7798
288.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8544
315.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6450
239.0 IPS |
|
|
Text Classification (SP)
|
100% |
525
700.9 IPS |
|
|
Text Classification (HP)
|
100% |
428
571.3 IPS |
|
|
Text Classification (Q)
|
93% |
469
629.9 IPS |
|
|
Machine Translation (SP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
868
15.0 IPS |
