MacBook Air (2022)
Geekbench AI Score
2044
Single Precision Score
11725
Half Precision Score
12495
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1189
221.2 IPS |
|
|
Image Classification (HP)
|
100% |
7310
1.36 KIPS |
|
|
Image Classification (Q)
|
99% |
7648
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5180
84.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5191
84.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5976
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
87766
102.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
86884
101.9 IPS |
|
|
Object Detection (SP)
|
100% |
1263
100.2 IPS |
|
|
Object Detection (HP)
|
99% |
8481
674.7 IPS |
|
|
Object Detection (Q)
|
93% |
8893
709.6 IPS |
|
|
Face Detection (SP)
|
100% |
2117
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
11601
137.8 IPS |
|
|
Face Detection (Q)
|
100% |
13411
159.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3607
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47243
364.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
50612
391.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10541
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
138456
178.0 IPS |
|
|
Style Transfer (Q)
|
100% |
139285
179.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2887
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19596
723.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25267
936.1 IPS |
|
|
Text Classification (SP)
|
100% |
521
694.9 IPS |
|
|
Text Classification (HP)
|
100% |
477
636.5 IPS |
|
|
Text Classification (Q)
|
93% |
518
695.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2457
42.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2444
42.2 IPS |
