MacBook Air (2022)
Geekbench AI Score
5878
Single Precision Score
6576
Half Precision Score
5854
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | myrmek |
| Upload Date | November 03 2024 10:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
3296
613.0 IPS |
|
|
Image Classification (HP)
|
100% |
3153
586.3 IPS |
|
|
Image Classification (Q)
|
97% |
2601
485.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3678
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4261
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4251
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19851
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21291
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19880
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3256
258.3 IPS |
|
|
Object Detection (HP)
|
100% |
3205
254.2 IPS |
|
|
Object Detection (Q)
|
91% |
2667
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
9368
111.3 IPS |
|
|
Face Detection (HP)
|
100% |
10273
122.1 IPS |
|
|
Face Detection (Q)
|
100% |
7080
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13636
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14402
111.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11942
93.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36137
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40280
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37565
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7827
289.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8259
305.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6480
239.3 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3724
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1053
18.2 IPS |
