iPhone 15 Pro
Geekbench AI Score
4003
Single Precision Score
24932
Half Precision Score
33260
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | October 02 2024 11:14 PM |
| Views | 12 |
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% |
1724
320.7 IPS |
|
|
Image Classification (HP)
|
100% |
11282
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15066
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15758
255.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20734
336.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8153
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
106903
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
204104
239.2 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
13923
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19075
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
37090
440.7 IPS |
|
|
Face Detection (Q)
|
100% |
49970
593.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7226
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
79014
608.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
126871
991.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21379
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
206293
265.2 IPS |
|
|
Style Transfer (Q)
|
96% |
248709
320.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5008
184.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35566
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56064
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (Q)
|
93% |
1975
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3118
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6097
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7803
134.8 IPS |
