iPhone 15 Pro
Geekbench AI Score
5124
Single Precision Score
5879
Half Precision Score
5519
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | iClondike |
| Upload Date | August 02 2025 06:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2148
399.5 IPS |
|
|
Image Classification (HP)
|
100% |
1954
363.4 IPS |
|
|
Image Classification (Q)
|
96% |
1592
297.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3759
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4190
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4010
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13113
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14388
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14188
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.5 IPS |
|
|
Object Detection (HP)
|
100% |
2608
206.8 IPS |
|
|
Object Detection (Q)
|
92% |
2447
195.3 IPS |
|
|
Face Detection (SP)
|
100% |
6271
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
8620
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
6869
81.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11098
85.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12034
92.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11131
86.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27200
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32912
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31664
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5873
216.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5638
208.2 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5749
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5624
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1542
26.6 IPS |
