iPhone 15 Pro
Geekbench AI Score
5040
Single Precision Score
6033
Half Precision Score
5695
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 04:05 PM |
| Views | 1 |
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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
2149
399.6 IPS |
|
|
Image Classification (Q)
|
96% |
2009
375.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3648
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4263
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4038
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13189
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15114
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14526
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2347
186.1 IPS |
|
|
Object Detection (HP)
|
100% |
2619
207.8 IPS |
|
|
Object Detection (Q)
|
92% |
2511
200.4 IPS |
|
|
Face Detection (SP)
|
100% |
6332
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
8997
106.9 IPS |
|
|
Face Detection (Q)
|
100% |
6978
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10973
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12439
95.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11363
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27338
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32925
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33308
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6216
229.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5481
202.4 IPS |
|
|
Text Classification (SP)
|
100% |
3125
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5620
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1491
25.8 IPS |
