iPhone 15 Pro
Geekbench AI Score
3843
Single Precision Score
27171
Half Precision Score
36172
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 02:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1671
310.8 IPS |
|
|
Image Classification (HP)
|
100% |
11304
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15586
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16652
269.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21224
344.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7368
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
102530
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
201563
236.2 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.5 IPS |
|
|
Object Detection (HP)
|
100% |
13929
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17541
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
36269
431.0 IPS |
|
|
Face Detection (Q)
|
100% |
46053
547.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6775
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78042
601.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
122973
961.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19841
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
206264
265.2 IPS |
|
|
Style Transfer (Q)
|
96% |
245651
317.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4554
168.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36872
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58748
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5622
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5619
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6742
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7141
123.4 IPS |
