iPhone 15 Pro
Geekbench AI Score
5108
Single Precision Score
5944
Half Precision Score
5475
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2139
397.7 IPS |
|
|
Image Classification (HP)
|
100% |
2032
377.9 IPS |
|
|
Image Classification (Q)
|
96% |
1708
318.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3688
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4225
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4100
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13388
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14418
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12245
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
100% |
2784
220.8 IPS |
|
|
Object Detection (Q)
|
92% |
2448
195.4 IPS |
|
|
Face Detection (SP)
|
100% |
6411
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
8580
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
7060
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11129
85.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12238
94.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11284
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26959
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31631
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31582
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5956
219.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5353
197.7 IPS |
|
|
Text Classification (SP)
|
100% |
3150
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5771
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5696
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1504
26.0 IPS |
