iPhone 15 Pro
Geekbench AI Score
5019
Single Precision Score
5907
Half Precision Score
5577
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 11 2025 03:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1806
335.9 IPS |
|
|
Image Classification (HP)
|
100% |
1818
338.1 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3768
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4242
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4080
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13180
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15079
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14636
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (Q)
|
92% |
2406
192.1 IPS |
|
|
Face Detection (SP)
|
100% |
6644
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
9275
110.2 IPS |
|
|
Face Detection (Q)
|
100% |
7375
87.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11425
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12746
98.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11209
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27555
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33019
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31985
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5604
206.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5819
214.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5117
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5560
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5412
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1371
23.7 IPS |
