iPhone 15 Pro
Geekbench AI Score
5041
Single Precision Score
5809
Half Precision Score
5243
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 30 2024 11:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1957
364.0 IPS |
|
|
Image Classification (HP)
|
100% |
1657
308.2 IPS |
|
|
Image Classification (Q)
|
97% |
1826
340.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3160
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3961
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4006
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15003
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15814
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15056
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2518
199.7 IPS |
|
|
Object Detection (HP)
|
100% |
2772
219.9 IPS |
|
|
Object Detection (Q)
|
91% |
2257
180.4 IPS |
|
|
Face Detection (SP)
|
100% |
6794
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
9625
114.4 IPS |
|
|
Face Detection (Q)
|
100% |
6710
79.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12145
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13359
102.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10781
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29575
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34935
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33406
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6273
231.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6594
243.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5647
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
923
15.9 IPS |
