MacBook Air (2022)
Geekbench AI Score
3419
Single Precision Score
21016
Half Precision Score
22841
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | theodore927 |
| Upload Date | September 02 2024 06:22 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5331b) |
| 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% |
1365
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
13824
2.57 KIPS |
|
|
Image Classification (Q)
|
99% |
14450
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9200
149.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
9040
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6849
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
101723
118.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
100831
118.3 IPS |
|
|
Object Detection (SP)
|
100% |
1550
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
14673
1.17 KIPS |
|
|
Object Detection (Q)
|
91% |
17064
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
23312
277.0 IPS |
|
|
Face Detection (Q)
|
100% |
35443
421.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5612
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
73848
569.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
81780
632.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18657
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
154839
199.0 IPS |
|
|
Style Transfer (Q)
|
100% |
154850
199.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39752
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
46104
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3528
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2364
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2356
40.7 IPS |
