iPhone 15 Pro
Geekbench AI Score
3744
Single Precision Score
26846
Half Precision Score
36536
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:25 AM |
| Views | 2 |
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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
11192
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
15758
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16660
270.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21453
347.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6914
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
104455
121.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
207004
242.6 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (HP)
|
100% |
13889
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17957
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
34670
412.0 IPS |
|
|
Face Detection (Q)
|
100% |
50826
603.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6733
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78421
604.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
122097
954.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20221
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
209089
268.8 IPS |
|
|
Style Transfer (Q)
|
96% |
249206
321.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4494
165.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34275
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56524
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6607
113.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6925
119.7 IPS |
