iPhone 15 Pro
Geekbench AI Score
4031
Single Precision Score
25219
Half Precision Score
35355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 04 2025 01:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
11788
2.19 KIPS |
|
|
Image Classification (Q)
|
97% |
15213
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16482
267.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21726
352.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8518
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
107012
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
205678
241.1 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
13893
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19126
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
34171
406.0 IPS |
|
|
Face Detection (Q)
|
100% |
51644
613.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7097
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78634
605.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
128222
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
22252
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
206402
265.3 IPS |
|
|
Style Transfer (Q)
|
96% |
250949
323.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5003
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34728
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57713
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3174
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3237
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6621
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7710
133.2 IPS |
