MacBook Air (2022)
Geekbench AI Score
5788
Single Precision Score
6252
Half Precision Score
5611
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 08:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3297
613.2 IPS |
|
|
Image Classification (HP)
|
100% |
3209
596.9 IPS |
|
|
Image Classification (Q)
|
97% |
2413
450.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3679
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4265
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4194
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19822
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21282
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19582
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
3081
244.4 IPS |
|
|
Object Detection (HP)
|
100% |
3204
254.2 IPS |
|
|
Object Detection (Q)
|
91% |
2484
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
9421
111.9 IPS |
|
|
Face Detection (HP)
|
100% |
10209
121.3 IPS |
|
|
Face Detection (Q)
|
100% |
7072
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13701
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14424
111.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11349
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36324
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40172
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37454
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7892
291.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8285
305.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6228
230.0 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3797
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3742
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (Q)
|
98% |
898
15.5 IPS |
