iPhone 15 Pro
Geekbench AI Score
5151
Single Precision Score
5897
Half Precision Score
5566
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 11:41 AM |
| Views | 3 |
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% |
2204
409.9 IPS |
|
|
Image Classification (HP)
|
100% |
1997
371.4 IPS |
|
|
Image Classification (Q)
|
96% |
1805
337.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3701
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4210
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4038
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13381
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14523
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14205
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (Q)
|
92% |
2415
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
6438
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
8679
103.1 IPS |
|
|
Face Detection (Q)
|
100% |
6960
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11256
86.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12049
92.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11405
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27729
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32405
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31380
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5825
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5543
204.7 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5817
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1419
24.5 IPS |
