iPhone 15 Pro
Geekbench AI Score
3968
Single Precision Score
23304
Half Precision Score
32551
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 14 2025 08:35 AM |
| Views | 3 |
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% |
1672
311.0 IPS |
|
|
Image Classification (HP)
|
100% |
10306
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
11734
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16428
266.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21340
345.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8166
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
107307
125.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
198882
233.1 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
100% |
10343
820.5 IPS |
|
|
Object Detection (Q)
|
91% |
16332
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
34868
414.3 IPS |
|
|
Face Detection (Q)
|
100% |
50810
603.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7003
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
64438
496.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
97975
766.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21886
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
193237
248.4 IPS |
|
|
Style Transfer (Q)
|
96% |
229045
295.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4981
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25338
935.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
49423
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5432
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3201
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4207
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5277
91.2 IPS |
