iPhone 15 Plus
Geekbench AI Score
3138
Single Precision Score
3497
Half Precision Score
3060
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 08:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
737
137.0 IPS |
|
|
Image Classification (HP)
|
100% |
1182
219.9 IPS |
|
|
Image Classification (Q)
|
97% |
573
107.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2510
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11671
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12140
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11322
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
1303
103.3 IPS |
|
|
Object Detection (Q)
|
91% |
1228
98.2 IPS |
|
|
Face Detection (SP)
|
100% |
4352
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
4631
55.0 IPS |
|
|
Face Detection (Q)
|
100% |
4093
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8504
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8774
67.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7224
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21780
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23287
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21572
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3701
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3863
142.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3019
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4565
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4566
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
368
6.33 IPS |
|
|
Machine Translation (HP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (Q)
|
98% |
410
7.09 IPS |
