iPhone 15 Pro
Geekbench AI Score
4004
Single Precision Score
23985
Half Precision Score
33675
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 03:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1691
314.4 IPS |
|
|
Image Classification (HP)
|
100% |
10658
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15452
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15711
254.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21084
341.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8364
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
107855
125.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
205627
241.0 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
13873
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19478
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
34000
404.0 IPS |
|
|
Face Detection (Q)
|
100% |
52304
621.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7000
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78396
604.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
125251
979.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21934
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
207750
267.1 IPS |
|
|
Style Transfer (Q)
|
96% |
256753
331.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4990
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34359
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61770
2.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2051
2.74 KIPS |
|
|
Text Classification (Q)
|
93% |
1805
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6446
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7664
132.4 IPS |
