iPhone 15 Pro
Geekbench AI Score
3938
Single Precision Score
25156
Half Precision Score
35964
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 06 2025 07:26 PM |
| Views | 6 |
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% |
1721
320.0 IPS |
|
|
Image Classification (HP)
|
100% |
10781
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15484
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15857
257.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21116
342.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7921
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
105659
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
206454
242.0 IPS |
|
|
Object Detection (SP)
|
100% |
1779
141.1 IPS |
|
|
Object Detection (HP)
|
100% |
13746
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19153
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
34548
410.5 IPS |
|
|
Face Detection (Q)
|
100% |
53153
631.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6892
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78308
603.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
128604
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21028
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
207652
266.9 IPS |
|
|
Style Transfer (Q)
|
96% |
255997
330.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4815
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34462
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62970
2.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3316
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6441
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7663
132.4 IPS |
