iPhone 15 Pro
Geekbench AI Score
2929
Single Precision Score
22468
Half Precision Score
31591
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 09:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1170
217.5 IPS |
|
|
Image Classification (HP)
|
100% |
9895
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
13305
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13953
226.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17895
290.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6292
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
71678
83.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
145455
170.5 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
100% |
12262
972.6 IPS |
|
|
Object Detection (Q)
|
91% |
17070
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2157
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
26602
316.1 IPS |
|
|
Face Detection (Q)
|
100% |
41536
493.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5334
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
61974
477.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
112665
880.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16384
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
168605
216.7 IPS |
|
|
Style Transfer (Q)
|
96% |
201633
260.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33046
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54363
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2551
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4460
5.95 KIPS |
|
|
Text Classification (Q)
|
93% |
4444
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2087
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6595
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7347
127.0 IPS |
