iPhone 15 Pro
Geekbench AI Score
4055
Single Precision Score
25183
Half Precision Score
34958
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | potatogaming |
| Upload Date | November 03 2024 05:57 PM |
| Views | 9 |
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% |
1732
322.1 IPS |
|
|
Image Classification (HP)
|
100% |
10654
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
14835
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15737
255.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21247
344.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8374
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
107959
126.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
204194
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1844
146.3 IPS |
|
|
Object Detection (HP)
|
100% |
13818
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19079
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
34542
410.4 IPS |
|
|
Face Detection (Q)
|
100% |
49937
593.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7267
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78788
607.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
128762
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21764
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203296
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
248365
320.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5096
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34539
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55691
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3259
4.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6619
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7659
132.4 IPS |
