iPhone 15 Pro
Geekbench AI Score
3988
Single Precision Score
23661
Half Precision Score
32864
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Gandoon |
| Upload Date | March 05 2025 08:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
10747
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
14886
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16026
259.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20614
334.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8141
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
106479
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
204172
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
13732
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18723
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
34021
404.2 IPS |
|
|
Face Detection (Q)
|
100% |
50596
601.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7072
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78728
606.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127949
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21388
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
204752
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
247053
318.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5043
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34013
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59456
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (Q)
|
93% |
1782
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6137
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7395
127.8 IPS |
