iPhone 15 Pro
Geekbench AI Score
4899
Single Precision Score
5860
Half Precision Score
5668
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | calvinh |
| Upload Date | November 17 2025 06:26 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1807
336.0 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.1 IPS |
|
|
Image Classification (Q)
|
96% |
1930
360.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3622
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4196
68.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4045
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13275
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15015
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14541
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2385
189.2 IPS |
|
|
Object Detection (HP)
|
100% |
2602
206.4 IPS |
|
|
Object Detection (Q)
|
92% |
2543
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
6237
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
8931
106.1 IPS |
|
|
Face Detection (Q)
|
100% |
7025
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11073
85.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12407
95.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11294
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27396
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32558
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31864
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5495
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5348
197.5 IPS |
|
|
Text Classification (SP)
|
100% |
3086
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5312
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5330
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1199
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1646
28.4 IPS |
