iPhone 15 Pro
Geekbench AI Score
4044
Single Precision Score
27504
Half Precision Score
37561
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 01:50 AM |
| Views | 4 |
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% |
1670
310.7 IPS |
|
|
Image Classification (HP)
|
100% |
11007
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15737
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15683
254.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21179
343.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8678
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
107991
126.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
208403
244.3 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
100% |
13863
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17902
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
36320
431.6 IPS |
|
|
Face Detection (Q)
|
100% |
46320
550.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7159
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78005
601.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
126024
985.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22601
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
207889
267.2 IPS |
|
|
Style Transfer (Q)
|
96% |
249120
321.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5102
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36687
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60569
2.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3218
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5392
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5288
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8229
141.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9651
166.8 IPS |
