MacBook Air (2022)
Geekbench AI Score
5852
Single Precision Score
6617
Half Precision Score
5750
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 01:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2768
514.8 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.3 IPS |
|
|
Image Classification (Q)
|
97% |
2813
524.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4015
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4967
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4017
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23767
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25221
29.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24453
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2710
214.9 IPS |
|
|
Object Detection (HP)
|
100% |
2747
217.9 IPS |
|
|
Object Detection (Q)
|
91% |
2482
198.4 IPS |
|
|
Face Detection (SP)
|
100% |
10125
120.3 IPS |
|
|
Face Detection (HP)
|
100% |
11316
134.5 IPS |
|
|
Face Detection (Q)
|
100% |
8078
96.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16526
127.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17569
135.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12275
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42031
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48506
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45359
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9663
356.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9978
368.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7373
272.3 IPS |
|
|
Text Classification (SP)
|
100% |
1525
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2396
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
98% |
726
12.5 IPS |
