iPhone 15 Pro
Geekbench AI Score
2968
Single Precision Score
21757
Half Precision Score
29896
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:21 AM |
| Views | 1 |
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% |
1221
227.0 IPS |
|
|
Image Classification (HP)
|
100% |
9807
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
14294
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13267
215.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18873
305.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6349
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
63407
74.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
124625
146.1 IPS |
|
|
Object Detection (SP)
|
100% |
1322
104.8 IPS |
|
|
Object Detection (HP)
|
100% |
12248
971.5 IPS |
|
|
Object Detection (Q)
|
91% |
16377
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
2300
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
27055
321.5 IPS |
|
|
Face Detection (Q)
|
100% |
37988
451.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5344
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
59726
460.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
102867
804.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16530
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
171875
220.9 IPS |
|
|
Style Transfer (Q)
|
96% |
174247
224.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3645
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31142
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51110
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2519
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4320
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4320
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2234
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6298
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6892
119.1 IPS |
