MacBook Air (2022)
Geekbench AI Score
5675
Single Precision Score
6239
Half Precision Score
5530
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | cheltenham |
| Upload Date | September 09 2024 02:55 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3272
608.5 IPS |
|
|
Image Classification (HP)
|
100% |
3140
584.0 IPS |
|
|
Image Classification (Q)
|
97% |
2367
441.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3679
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4275
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4167
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19962
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21271
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19699
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
3072
243.7 IPS |
|
|
Object Detection (HP)
|
100% |
3194
253.4 IPS |
|
|
Object Detection (Q)
|
91% |
2478
198.0 IPS |
|
|
Face Detection (SP)
|
100% |
9263
110.1 IPS |
|
|
Face Detection (HP)
|
100% |
10159
120.7 IPS |
|
|
Face Detection (Q)
|
100% |
6986
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13542
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14477
111.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11276
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35865
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40091
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37348
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7831
289.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8126
300.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6274
231.7 IPS |
|
|
Text Classification (SP)
|
100% |
2184
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3582
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (Q)
|
98% |
841
14.5 IPS |
