iPhone 15 Plus
Geekbench AI Score
1462
Single Precision Score
2185
Half Precision Score
1853
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | September 21 2024 10:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
629
117.0 IPS |
|
|
Image Classification (HP)
|
100% |
812
150.9 IPS |
|
|
Image Classification (Q)
|
96% |
604
112.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
549
8.90 IPS |
|
|
Image Segmentation (Q)
|
99% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2734
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6206
7.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
5428
6.36 IPS |
|
|
Object Detection (SP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (HP)
|
97% |
1020
81.2 IPS |
|
|
Object Detection (Q)
|
94% |
712
56.8 IPS |
|
|
Face Detection (SP)
|
100% |
1355
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (Q)
|
100% |
1241
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2462
19.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
3881
30.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
2885
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7440
9.56 IPS |
|
|
Style Transfer (HP)
|
100% |
11712
15.1 IPS |
|
|
Style Transfer (Q)
|
96% |
9884
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2189
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1652
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
1200
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1950
2.60 KIPS |
|
|
Text Classification (Q)
|
93% |
1942
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2336
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2299
39.7 IPS |
