MacBook Air (2022)
Geekbench AI Score
3218
Single Precision Score
4761
Half Precision Score
3968
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gundamf90 |
| Upload Date | August 18 2024 01:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.6 IPS |
|
|
Image Classification (HP)
|
100% |
1917
356.5 IPS |
|
|
Image Classification (Q)
|
99% |
1909
356.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1303
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6145
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
14674
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12583
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2271
180.8 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
2821
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4387
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
2853
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5394
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8649
66.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4365
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17320
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27155
34.9 IPS |
|
|
Style Transfer (Q)
|
100% |
27134
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3700
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4823
178.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3574
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3219
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2769
47.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4493
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4579
79.1 IPS |
