MacBook Air (2022)
Geekbench AI Score
5848
Single Precision Score
6314
Half Precision Score
4923
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 08:13 PM |
| Views | 22 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3409
634.0 IPS |
|
|
Image Classification (HP)
|
100% |
3203
595.7 IPS |
|
|
Image Classification (Q)
|
99% |
3211
598.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3700
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4285
69.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
4271
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19879
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21361
24.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
19671
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
3116
247.2 IPS |
|
|
Object Detection (HP)
|
100% |
3225
255.8 IPS |
|
|
Object Detection (Q)
|
91% |
2650
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
9397
111.7 IPS |
|
|
Face Detection (HP)
|
100% |
10315
122.6 IPS |
|
|
Face Detection (Q)
|
100% |
7209
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13671
105.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14895
114.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
2266
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
36277
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40347
51.9 IPS |
|
|
Style Transfer (Q)
|
100% |
40186
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7896
291.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8362
308.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6270
232.3 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3857
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3779
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.17 IPS |
|
|
Machine Translation (Q)
|
98% |
752
13.0 IPS |
