iPhone 15 Pro
Geekbench AI Score
4974
Single Precision Score
5899
Half Precision Score
5478
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | December 16 2025 05:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1911
355.3 IPS |
|
|
Image Classification (HP)
|
100% |
1949
362.5 IPS |
|
|
Image Classification (Q)
|
96% |
1574
294.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3695
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4220
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4077
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13195
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14572
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14174
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (Q)
|
92% |
2449
195.5 IPS |
|
|
Face Detection (SP)
|
100% |
6089
72.3 IPS |
|
|
Face Detection (HP)
|
100% |
8641
102.7 IPS |
|
|
Face Detection (Q)
|
100% |
6793
80.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10620
81.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11849
91.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11078
86.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27151
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32915
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32006
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5586
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5390
199.0 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5769
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5818
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1447
25.0 IPS |
