iPhone 15 Pro
Geekbench AI Score
3895
Single Precision Score
25623
Half Precision Score
35837
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 05:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
11650
2.17 KIPS |
|
|
Image Classification (Q)
|
97% |
16211
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16513
267.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21293
345.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7664
8.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
105865
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
206494
242.0 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.9 IPS |
|
|
Object Detection (HP)
|
100% |
14074
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
19418
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34339
408.0 IPS |
|
|
Face Detection (Q)
|
100% |
53004
629.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6890
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78310
603.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
129218
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20366
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203471
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
254265
328.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4739
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34357
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56141
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (Q)
|
93% |
3375
4.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3183
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6441
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7651
132.2 IPS |
