iPhone 15 Pro
Geekbench AI Score
3937
Single Precision Score
25389
Half Precision Score
35296
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 02:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1674
311.3 IPS |
|
|
Image Classification (HP)
|
100% |
11219
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
15633
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16205
262.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21312
345.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7881
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
106068
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
206675
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
1777
141.0 IPS |
|
|
Object Detection (HP)
|
100% |
13853
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19032
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
33798
401.6 IPS |
|
|
Face Detection (Q)
|
100% |
53051
630.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6960
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78136
602.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
126533
989.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21139
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
207032
266.1 IPS |
|
|
Style Transfer (Q)
|
96% |
257275
332.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4915
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34709
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56444
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3143
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6509
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7475
129.2 IPS |
