iPhone 15 Pro
Geekbench AI Score
4287
Single Precision Score
4896
Half Precision Score
4717
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | O_Vigilante |
| Upload Date | November 15 2025 02:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
955
177.6 IPS |
|
|
Image Classification (HP)
|
100% |
911
169.4 IPS |
|
|
Image Classification (Q)
|
96% |
1116
208.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3698
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3912
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3952
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12543
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14468
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13203
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2001
158.7 IPS |
|
|
Object Detection (HP)
|
100% |
1782
141.3 IPS |
|
|
Object Detection (Q)
|
92% |
1669
133.2 IPS |
|
|
Face Detection (SP)
|
100% |
5400
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
7126
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
5697
67.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10431
80.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12018
92.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10956
85.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25435
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31894
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32646
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4624
170.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4287
158.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3825
141.2 IPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5600
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5518
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1307
22.6 IPS |
