MacBook Air (2022)
Geekbench AI Score
6041
Single Precision Score
6958
Half Precision Score
4983
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | December 04 2024 06:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2735
508.5 IPS |
|
|
Image Classification (HP)
|
100% |
3659
680.5 IPS |
|
|
Image Classification (Q)
|
99% |
3602
671.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3946
64.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4979
80.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5006
81.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23270
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24661
28.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
14219
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
3163
250.9 IPS |
|
|
Object Detection (HP)
|
100% |
3324
263.6 IPS |
|
|
Object Detection (Q)
|
91% |
2485
198.6 IPS |
|
|
Face Detection (SP)
|
100% |
9772
116.1 IPS |
|
|
Face Detection (HP)
|
100% |
11438
135.9 IPS |
|
|
Face Detection (Q)
|
100% |
8095
96.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16600
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17627
135.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
2777
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
40970
52.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48299
62.1 IPS |
|
|
Style Transfer (Q)
|
100% |
47898
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9872
364.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10202
376.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7681
284.6 IPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2421
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
740
12.8 IPS |
