iPhone 15 Pro
Geekbench AI Score
5001
Single Precision Score
6028
Half Precision Score
5655
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 04:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2034
378.3 IPS |
|
|
Image Classification (HP)
|
100% |
1883
350.1 IPS |
|
|
Image Classification (Q)
|
96% |
1620
302.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3691
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4316
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4171
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13223
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15114
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14524
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2395
190.0 IPS |
|
|
Object Detection (HP)
|
100% |
2738
217.2 IPS |
|
|
Object Detection (Q)
|
92% |
2507
200.1 IPS |
|
|
Face Detection (SP)
|
100% |
6133
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
8721
103.6 IPS |
|
|
Face Detection (Q)
|
100% |
7092
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11005
84.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12449
95.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
12111
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26892
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32949
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32896
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6134
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5444
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5732
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5868
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1508
26.1 IPS |
