iPhone 15 Pro
Geekbench AI Score
5110
Single Precision Score
5937
Half Precision Score
5446
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 09:47 AM |
| Views | 2 |
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% |
1994
370.9 IPS |
|
|
Image Classification (HP)
|
100% |
1933
359.5 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3746
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4219
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4076
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13388
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14529
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14366
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (Q)
|
92% |
2350
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
6622
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
9224
109.6 IPS |
|
|
Face Detection (Q)
|
100% |
7306
86.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11623
89.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12603
97.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11208
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27373
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32216
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31759
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5846
215.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5021
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5646
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5808
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1407
24.3 IPS |
