MacBook Air (2022)
Geekbench AI Score
5908
Single Precision Score
6165
Half Precision Score
5541
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jamiesmithnc |
| Upload Date | August 16 2024 12:45 AM |
| Views | 4 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3471
645.4 IPS |
|
|
Image Classification (HP)
|
100% |
3434
638.6 IPS |
|
|
Image Classification (Q)
|
99% |
3172
591.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3902
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4902
79.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
4711
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24200
28.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26074
30.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
23471
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
3503
277.9 IPS |
|
|
Object Detection (HP)
|
100% |
3562
282.5 IPS |
|
|
Object Detection (Q)
|
92% |
2785
222.3 IPS |
|
|
Face Detection (SP)
|
100% |
9741
115.7 IPS |
|
|
Face Detection (HP)
|
100% |
11332
134.7 IPS |
|
|
Face Detection (Q)
|
100% |
7664
91.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16571
127.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17716
136.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
17487
135.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42127
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48209
62.0 IPS |
|
|
Style Transfer (Q)
|
100% |
48041
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9380
346.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10064
371.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7628
282.6 IPS |
|
|
Text Classification (SP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
578
770.9 IPS |
|
|
Text Classification (Q)
|
93% |
591
793.7 IPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
963
16.6 IPS |
