MacBook Air (2022)
Geekbench AI Score
3210
Single Precision Score
4751
Half Precision Score
3924
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | trauts |
| Upload Date | August 15 2024 07:36 PM |
| Views | 3 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1494
277.8 IPS |
|
|
Image Classification (HP)
|
100% |
1866
347.0 IPS |
|
|
Image Classification (Q)
|
99% |
1872
349.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1287
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6060
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
14443
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12424
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
97% |
2246
178.8 IPS |
|
|
Object Detection (Q)
|
94% |
1728
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
2871
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4386
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
2816
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5326
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8573
66.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4221
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17260
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27019
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
27025
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4895
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3538
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3327
4.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3247
4.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2957
50.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4578
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4540
78.5 IPS |
