MacBook Air M2 MacBook Air (2022)
Geekbench AI Score
5050
Single Precision Score
5375
Half Precision Score
4887
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jiashu |
| Upload Date | August 17 2024 03:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3224
599.6 IPS |
|
|
Image Classification (HP)
|
100% |
3058
568.6 IPS |
|
|
Image Classification (Q)
|
99% |
2792
520.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3618
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4169
67.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
4074
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19781
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21192
24.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
19127
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
3184
252.6 IPS |
|
|
Object Detection (HP)
|
100% |
3112
246.8 IPS |
|
|
Object Detection (Q)
|
92% |
2452
195.7 IPS |
|
|
Face Detection (SP)
|
100% |
8888
105.6 IPS |
|
|
Face Detection (HP)
|
100% |
9820
116.7 IPS |
|
|
Face Detection (Q)
|
100% |
6685
79.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13577
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14391
110.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
14303
110.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35960
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40027
51.5 IPS |
|
|
Style Transfer (Q)
|
100% |
39239
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7653
282.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8241
304.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6178
228.9 IPS |
|
|
Text Classification (SP)
|
100% |
458
611.1 IPS |
|
|
Text Classification (HP)
|
100% |
571
761.5 IPS |
|
|
Text Classification (Q)
|
93% |
568
761.8 IPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1108
19.1 IPS |
