iPhone 15 Pro
Geekbench AI Score
3968
Single Precision Score
25351
Half Precision Score
35234
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 04:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1705
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
10987
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
15097
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15851
257.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20953
339.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7985
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
106106
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204569
239.8 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
13856
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18856
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
34183
406.2 IPS |
|
|
Face Detection (Q)
|
100% |
51205
608.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7042
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78681
606.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
126785
991.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21384
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
203509
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
247338
319.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5040
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34120
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63302
2.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (Q)
|
93% |
3235
4.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6614
113.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7350
127.0 IPS |
