iPhone 15 Plus
Geekbench AI Score
3252
Single Precision Score
3346
Half Precision Score
3274
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 07:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
1218
226.5 IPS |
|
|
Image Classification (Q)
|
97% |
892
166.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2485
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2520
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2480
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11876
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12456
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11237
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.5 IPS |
|
|
Object Detection (HP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (Q)
|
91% |
1177
94.0 IPS |
|
|
Face Detection (SP)
|
100% |
4288
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
4309
51.2 IPS |
|
|
Face Detection (Q)
|
100% |
4038
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8224
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8844
68.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6868
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21183
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23318
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21678
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3787
139.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2582
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2926
108.0 IPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4564
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4599
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (Q)
|
98% |
598
10.3 IPS |
