MacBook Air (15-inch, 2023)
Geekbench AI Score
5695
Single Precision Score
6241
Half Precision Score
5410
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 18 2024 04:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.1.1 (Build 23B81) |
| 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% |
3568
663.6 IPS |
|
|
Image Classification (HP)
|
100% |
3471
645.4 IPS |
|
|
Image Classification (Q)
|
99% |
3086
575.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3915
63.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4771
77.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
4713
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24547
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26177
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23317
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
3262
258.8 IPS |
|
|
Object Detection (HP)
|
100% |
3661
290.4 IPS |
|
|
Object Detection (Q)
|
91% |
2741
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
10133
120.4 IPS |
|
|
Face Detection (HP)
|
100% |
11378
135.2 IPS |
|
|
Face Detection (Q)
|
100% |
6815
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16451
126.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17459
134.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
15552
120.2 IPS |
|
|
Style Transfer (SP)
|
100% |
41793
53.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48113
61.9 IPS |
|
|
Style Transfer (Q)
|
100% |
48005
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9483
350.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10422
384.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7057
261.5 IPS |
|
|
Text Classification (SP)
|
100% |
538
718.4 IPS |
|
|
Text Classification (HP)
|
100% |
584
779.2 IPS |
|
|
Text Classification (Q)
|
93% |
755
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
903
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
853
14.7 IPS |
