iPhone 15 Pro
Geekbench AI Score
3772
Single Precision Score
26471
Half Precision Score
36290
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | mattpippen |
| Upload Date | December 29 2025 03:05 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1558
289.8 IPS |
|
|
Image Classification (HP)
|
100% |
11310
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
14818
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16247
263.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21031
340.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7487
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
106225
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
202221
237.0 IPS |
|
|
Object Detection (SP)
|
100% |
1643
130.3 IPS |
|
|
Object Detection (HP)
|
100% |
13294
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
17505
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
36955
439.1 IPS |
|
|
Face Detection (Q)
|
100% |
50641
601.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6881
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78344
603.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
120227
940.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19976
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
202005
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
246317
317.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4704
173.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34386
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63831
2.36 KIPS |
|
|
Text Classification (SP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5272
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5304
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6141
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7074
122.3 IPS |
