iPhone 15 Pro
Geekbench AI Score
4016
Single Precision Score
25098
Half Precision Score
35273
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Benster412 |
| Upload Date | May 07 2025 04:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1713
318.5 IPS |
|
|
Image Classification (HP)
|
100% |
10751
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15126
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16379
265.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21506
348.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8384
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
108488
126.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
206964
242.6 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
13657
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19580
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
34151
405.8 IPS |
|
|
Face Detection (Q)
|
100% |
52390
622.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7107
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78448
604.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
128022
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
22077
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
206644
265.6 IPS |
|
|
Style Transfer (Q)
|
96% |
254980
329.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5015
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33687
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60246
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2858
3.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6321
108.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7681
132.7 IPS |
