iPhone 15 Pro
Geekbench AI Score
3968
Single Precision Score
24919
Half Precision Score
33073
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | KieraTheToastie |
| Upload Date | December 26 2024 05:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1706
317.2 IPS |
|
|
Image Classification (HP)
|
100% |
10884
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
15215
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16027
259.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20985
340.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7992
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
106923
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204335
239.5 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
13927
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19161
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
35033
416.3 IPS |
|
|
Face Detection (Q)
|
100% |
50677
602.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7074
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78640
605.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
126918
992.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21332
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203082
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
247689
319.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36132
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56131
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2823
3.77 KIPS |
|
|
Text Classification (Q)
|
93% |
1888
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6230
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7421
128.3 IPS |
