MacBook Air (15-inch, 2023)
Geekbench AI Score
3391
Single Precision Score
24788
Half Precision Score
27431
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | October 03 2024 03:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| Model | MacBook Air (15-inch, 2023) |
| Model ID | Mac14,15 |
| Motherboard | Mac14,15 |
| 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% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
13241
2.46 KIPS |
|
|
Image Classification (Q)
|
96% |
14955
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19171
310.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23344
378.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6739
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
104767
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104466
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
15925
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17733
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
33656
399.9 IPS |
|
|
Face Detection (Q)
|
100% |
41243
490.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5559
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86010
662.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
108857
850.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18404
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
200688
258.0 IPS |
|
|
Style Transfer (Q)
|
96% |
195049
251.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4090
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40582
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48650
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3636
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3621
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2413
41.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2418
41.8 IPS |
