iPhone 15 Pro
Geekbench AI Score
3874
Single Precision Score
25533
Half Precision Score
35793
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 12:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1692
314.7 IPS |
|
|
Image Classification (HP)
|
100% |
11328
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15701
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16610
269.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21259
344.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7504
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
104421
121.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204819
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (HP)
|
100% |
14001
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19662
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
36549
434.3 IPS |
|
|
Face Detection (Q)
|
100% |
52969
629.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6740
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78441
604.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
125443
980.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20551
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
207712
267.0 IPS |
|
|
Style Transfer (Q)
|
96% |
256388
330.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4734
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34026
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57716
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3278
4.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3486
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6447
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7491
129.5 IPS |
