MacBook Air (2022)
Geekbench AI Score
3447
Single Precision Score
5906
Half Precision Score
5171
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | terryocheskey |
| Upload Date | August 17 2024 03:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.6 IPS |
|
|
Image Classification (Q)
|
99% |
2472
461.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2466
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6886
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14957
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12842
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2861
227.7 IPS |
|
|
Object Detection (Q)
|
94% |
2066
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
5872
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
3531
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5639
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11588
89.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
11579
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18753
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28585
36.7 IPS |
|
|
Style Transfer (Q)
|
100% |
28616
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4122
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4795
177.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3517
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
2191
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3617
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5726
98.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5680
98.2 IPS |
