iPhone 15 Plus
Geekbench AI Score
3224
Single Precision Score
5656
Half Precision Score
4537
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 02:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
2536
471.5 IPS |
|
|
Image Classification (Q)
|
96% |
1749
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5572
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
12425
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10380
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.4 IPS |
|
|
Object Detection (HP)
|
97% |
2786
221.8 IPS |
|
|
Object Detection (Q)
|
94% |
1938
154.5 IPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5663
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3119
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5374
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10954
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7385
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15753
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25062
32.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20825
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3420
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4569
168.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3332
123.0 IPS |
|
|
Text Classification (SP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4617
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4590
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3193
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5446
94.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5452
94.2 IPS |
