MacBook Air (2022)
Geekbench AI Score
3194
Single Precision Score
4712
Half Precision Score
3893
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ZBOYDMARK |
| Upload Date | August 19 2024 06:28 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1479
275.1 IPS |
|
|
Image Classification (HP)
|
100% |
1876
348.9 IPS |
|
|
Image Classification (Q)
|
99% |
1873
349.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1279
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6055
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
14531
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12380
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2251
179.2 IPS |
|
|
Object Detection (Q)
|
94% |
1689
134.6 IPS |
|
|
Face Detection (SP)
|
100% |
2829
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
4367
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2821
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5271
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8492
65.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4246
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17188
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26967
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
26863
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4873
179.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3539
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3143
4.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3081
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2919
50.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4501
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4560
78.8 IPS |
