iPhone 15 Pro
Geekbench AI Score
4997
Single Precision Score
5905
Half Precision Score
5651
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 01:39 PM |
| Views | 7 |
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% |
1947
362.1 IPS |
|
|
Image Classification (HP)
|
100% |
2081
386.9 IPS |
|
|
Image Classification (Q)
|
96% |
2084
389.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3668
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4248
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4064
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12910
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13220
15.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12520
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
2273
180.3 IPS |
|
|
Object Detection (HP)
|
100% |
2795
221.7 IPS |
|
|
Object Detection (Q)
|
92% |
2508
200.2 IPS |
|
|
Face Detection (SP)
|
100% |
6570
78.1 IPS |
|
|
Face Detection (HP)
|
100% |
8562
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
6925
82.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10912
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12378
95.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11288
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26638
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31604
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33126
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5805
214.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6042
223.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5452
201.3 IPS |
|
|
Text Classification (SP)
|
100% |
3323
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5821
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5830
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1518
26.2 IPS |
