iPhone 15 Pro
Geekbench AI Score
2750
Single Precision Score
13901
Half Precision Score
15729
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Moklonus |
| Upload Date | August 18 2024 03:04 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1485
276.1 IPS |
|
|
Image Classification (HP)
|
100% |
6234
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6958
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5245
85.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5222
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7831
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
88265
103.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
131592
154.3 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.4 IPS |
|
|
Object Detection (HP)
|
100% |
8304
658.7 IPS |
|
|
Object Detection (Q)
|
93% |
9954
794.3 IPS |
|
|
Face Detection (SP)
|
100% |
2242
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
11228
133.4 IPS |
|
|
Face Detection (Q)
|
100% |
12668
150.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4689
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
43506
335.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
49017
379.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12375
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
128197
164.8 IPS |
|
|
Style Transfer (Q)
|
100% |
129027
165.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18312
676.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25782
955.2 IPS |
|
|
Text Classification (SP)
|
100% |
1767
2.36 KIPS |
|
|
Text Classification (HP)
|
71% |
3964
5.70 KIPS |
|
|
Text Classification (Q)
|
69% |
3958
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1906
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2383
41.2 IPS |
