iPhone 15 Pro
Geekbench AI Score
5106
Single Precision Score
5873
Half Precision Score
5411
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 02:03 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% |
1911
355.4 IPS |
|
|
Image Classification (HP)
|
100% |
1895
352.4 IPS |
|
|
Image Classification (Q)
|
96% |
1417
264.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3671
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4177
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4064
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13382
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14546
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14288
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2423
192.2 IPS |
|
|
Object Detection (HP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (Q)
|
92% |
2379
189.9 IPS |
|
|
Face Detection (SP)
|
100% |
6593
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
9260
110.0 IPS |
|
|
Face Detection (Q)
|
100% |
7221
85.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11594
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12645
97.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11354
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27337
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31952
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31607
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5818
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5559
205.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5093
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5655
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5615
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1350
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1486
25.7 IPS |
