MacBook Air (2022)
Geekbench AI Score
5806
Single Precision Score
6250
Half Precision Score
5547
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 16 2024 12:57 AM |
| Views | 2 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3586
667.0 IPS |
|
|
Image Classification (HP)
|
100% |
3538
657.9 IPS |
|
|
Image Classification (Q)
|
99% |
3115
581.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3974
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4927
79.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
4787
77.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24503
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26158
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23708
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3551
281.7 IPS |
|
|
Object Detection (HP)
|
100% |
3659
290.2 IPS |
|
|
Object Detection (Q)
|
92% |
2824
225.4 IPS |
|
|
Face Detection (SP)
|
100% |
9872
117.3 IPS |
|
|
Face Detection (HP)
|
100% |
11359
135.0 IPS |
|
|
Face Detection (Q)
|
100% |
7610
90.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16560
127.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17741
136.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
17653
136.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42674
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48216
62.0 IPS |
|
|
Style Transfer (Q)
|
100% |
48066
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9503
350.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10124
373.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7703
285.4 IPS |
|
|
Text Classification (SP)
|
100% |
527
703.9 IPS |
|
|
Text Classification (HP)
|
100% |
580
774.4 IPS |
|
|
Text Classification (Q)
|
93% |
577
774.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
963
16.6 IPS |
