iPhone 15 Pro
Geekbench AI Score
5097
Single Precision Score
6014
Half Precision Score
5385
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 01:11 PM |
| 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% |
2215
411.9 IPS |
|
|
Image Classification (HP)
|
100% |
2000
371.9 IPS |
|
|
Image Classification (Q)
|
96% |
1446
270.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3683
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4207
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4063
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13360
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14476
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14215
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2400
190.4 IPS |
|
|
Object Detection (HP)
|
100% |
2862
227.0 IPS |
|
|
Object Detection (Q)
|
92% |
2420
193.2 IPS |
|
|
Face Detection (SP)
|
100% |
6417
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
8387
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
6791
80.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11083
85.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12212
94.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11107
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27251
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32794
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31505
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5702
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5846
215.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5437
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5660
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5633
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1395
24.1 IPS |
