MacBook Air (2022)
Geekbench AI Score
3461
Single Precision Score
5939
Half Precision Score
4826
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | NyaaKevin |
| Upload Date | December 19 2024 11:20 AM |
| Views | 9 |
| Notes | 17C |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.6 IPS |
|
|
Image Classification (Q)
|
96% |
1763
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2868
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6877
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14798
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12763
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2909
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2097
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6009
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3521
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5795
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11788
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8163
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18746
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28512
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23929
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4869
179.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3623
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3574
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3522
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5775
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5691
98.4 IPS |
