iPhone 15 Pro
Geekbench AI Score
4019
Single Precision Score
24562
Half Precision Score
33818
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
11765
2.19 KIPS |
|
|
Image Classification (Q)
|
97% |
15291
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12945
209.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16025
259.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8385
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
107634
125.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
203701
238.7 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
13615
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19031
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
33888
402.7 IPS |
|
|
Face Detection (Q)
|
100% |
49358
586.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7232
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78168
602.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
127012
993.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21509
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203060
261.0 IPS |
|
|
Style Transfer (Q)
|
96% |
252437
325.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5037
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34044
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56162
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3078
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6353
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7529
130.1 IPS |
