iPhone 15 Pro
Geekbench AI Score
5105
Single Precision Score
5952
Half Precision Score
5457
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 04 2025 01:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1965
365.3 IPS |
|
|
Image Classification (HP)
|
100% |
1948
362.2 IPS |
|
|
Image Classification (Q)
|
96% |
1579
294.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3783
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4153
67.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4033
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13425
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14553
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14423
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2372
188.2 IPS |
|
|
Object Detection (HP)
|
100% |
2702
214.4 IPS |
|
|
Object Detection (Q)
|
92% |
2316
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
6545
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
9243
109.8 IPS |
|
|
Face Detection (Q)
|
100% |
7331
87.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11535
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12504
96.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11202
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27675
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32247
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32047
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5581
206.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5776
213.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5243
193.6 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5629
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5794
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1449
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1378
23.8 IPS |
