iPhone 15 Pro
Geekbench AI Score
4999
Single Precision Score
5883
Half Precision Score
5158
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2006
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
1966
365.6 IPS |
|
|
Image Classification (Q)
|
97% |
1783
332.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3117
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3939
63.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3977
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14956
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15856
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14588
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.1 IPS |
|
|
Object Detection (HP)
|
100% |
2917
231.4 IPS |
|
|
Object Detection (Q)
|
91% |
2243
179.2 IPS |
|
|
Face Detection (SP)
|
100% |
6475
76.9 IPS |
|
|
Face Detection (HP)
|
100% |
9042
107.4 IPS |
|
|
Face Detection (Q)
|
100% |
6249
74.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11711
90.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12637
97.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10232
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29324
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35231
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32056
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6510
240.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6611
244.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5429
200.5 IPS |
|
|
Text Classification (SP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
930
16.1 IPS |
