iPhone 15 Pro
Geekbench AI Score
3858
Single Precision Score
20862
Half Precision Score
26092
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | alpaone |
| Upload Date | August 16 2024 02:58 PM |
| Views | 8 |
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% |
1692
314.7 IPS |
|
|
Image Classification (HP)
|
100% |
11580
2.15 KIPS |
|
|
Image Classification (Q)
|
99% |
12777
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10701
173.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
10861
176.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7515
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
102242
119.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
197846
232.1 IPS |
|
|
Object Detection (SP)
|
100% |
1743
138.2 IPS |
|
|
Object Detection (HP)
|
100% |
13162
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
18714
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
21734
258.2 IPS |
|
|
Face Detection (Q)
|
100% |
35560
422.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6884
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
64361
495.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
74083
572.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20190
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
138541
178.1 IPS |
|
|
Style Transfer (Q)
|
100% |
139157
178.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4718
174.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34560
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
57300
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
1784
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3133
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6155
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7597
131.3 IPS |
