iPhone 15 Pro
Geekbench AI Score
3885
Single Precision Score
27075
Half Precision Score
36668
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 06:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1674
311.3 IPS |
|
|
Image Classification (HP)
|
100% |
10545
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
14529
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16592
269.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21195
343.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7603
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
106473
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
202193
237.0 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
100% |
13870
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17402
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
34638
411.6 IPS |
|
|
Face Detection (Q)
|
100% |
48223
573.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6935
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78306
603.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
123424
965.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21169
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205753
264.5 IPS |
|
|
Style Transfer (Q)
|
96% |
248631
320.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4783
176.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34875
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54979
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5156
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5265
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3222
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8167
140.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9470
163.7 IPS |
