iPhone 15 Pro
Geekbench AI Score
3915
Single Precision Score
24932
Half Precision Score
33515
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | szityus |
| Upload Date | February 28 2025 01:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1724
320.5 IPS |
|
|
Image Classification (HP)
|
100% |
11332
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15068
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16021
259.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20884
338.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7767
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
106089
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204129
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.1 IPS |
|
|
Object Detection (HP)
|
100% |
13897
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19443
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
33977
403.7 IPS |
|
|
Face Detection (Q)
|
100% |
51052
606.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6887
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78227
602.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
126755
991.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20476
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200337
257.5 IPS |
|
|
Style Transfer (Q)
|
96% |
247365
319.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34185
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56870
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3084
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2104
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3141
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6177
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7476
129.2 IPS |
