iPhone 15 Plus
Geekbench AI Score
2278
Single Precision Score
12712
Half Precision Score
13839
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bustycat |
| Upload Date | August 16 2024 04:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.6 IPS |
|
|
Image Classification (HP)
|
100% |
5730
1.07 KIPS |
|
|
Image Classification (Q)
|
99% |
6209
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5248
85.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5213
84.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5950
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
81354
94.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
80621
94.6 IPS |
|
|
Object Detection (SP)
|
100% |
1266
100.4 IPS |
|
|
Object Detection (HP)
|
100% |
7248
574.9 IPS |
|
|
Object Detection (Q)
|
93% |
8305
662.7 IPS |
|
|
Face Detection (SP)
|
100% |
2084
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
10531
125.1 IPS |
|
|
Face Detection (Q)
|
100% |
13119
155.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3813
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40101
309.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
46261
357.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10379
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
124463
160.0 IPS |
|
|
Style Transfer (Q)
|
100% |
125356
161.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2935
108.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15953
589.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21226
786.4 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (Q)
|
93% |
3437
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2147
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2143
37.0 IPS |
