iPhone 15 Pro
Geekbench AI Score
3667
Single Precision Score
26342
Half Precision Score
36679
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | September 27 2025 02:41 PM |
| Views | 8 |
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% |
1559
290.0 IPS |
|
|
Image Classification (HP)
|
100% |
10558
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
14828
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16157
261.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21014
340.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6943
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
101569
118.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
203304
238.3 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (HP)
|
100% |
13669
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
17582
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2974
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
34109
405.3 IPS |
|
|
Face Detection (Q)
|
100% |
46426
551.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6587
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
77547
597.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
130548
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
19198
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204470
262.8 IPS |
|
|
Style Transfer (Q)
|
96% |
253207
326.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4348
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34666
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63351
2.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5653
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6411
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7307
126.3 IPS |
