MacBook Air (2022)
Geekbench AI Score
1976
Single Precision Score
11804
Half Precision Score
12589
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | August 16 2024 01:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1122
208.6 IPS |
|
|
Image Classification (HP)
|
100% |
7497
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
7811
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5045
81.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
5054
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5796
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
85878
100.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
87022
102.1 IPS |
|
|
Object Detection (SP)
|
100% |
1263
100.2 IPS |
|
|
Object Detection (HP)
|
99% |
8503
676.4 IPS |
|
|
Object Detection (Q)
|
93% |
8955
714.5 IPS |
|
|
Face Detection (SP)
|
100% |
2125
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
10456
124.2 IPS |
|
|
Face Detection (Q)
|
100% |
13185
156.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3657
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
50233
387.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
53686
415.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10570
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
138796
178.4 IPS |
|
|
Style Transfer (Q)
|
100% |
139129
178.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2874
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19846
732.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25237
935.0 IPS |
|
|
Text Classification (SP)
|
100% |
414
552.3 IPS |
|
|
Text Classification (HP)
|
100% |
547
730.4 IPS |
|
|
Text Classification (Q)
|
93% |
543
728.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2403
41.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2410
41.6 IPS |
