iPhone 15 Pro
Geekbench AI Score
3887
Single Precision Score
25694
Half Precision Score
36255
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1649
306.7 IPS |
|
|
Image Classification (HP)
|
100% |
10812
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15638
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16399
265.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21135
342.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7683
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
106737
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
205923
241.4 IPS |
|
|
Object Detection (SP)
|
100% |
1758
139.4 IPS |
|
|
Object Detection (HP)
|
100% |
13846
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18971
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
37202
442.0 IPS |
|
|
Face Detection (Q)
|
100% |
53459
635.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6966
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78519
604.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
127982
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20964
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
209516
269.3 IPS |
|
|
Style Transfer (Q)
|
96% |
258569
333.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34187
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60549
2.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (Q)
|
93% |
3694
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6724
115.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7681
132.7 IPS |
