iPhone 15 Pro
Geekbench AI Score
2805
Single Precision Score
14181
Half Precision Score
18096
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:43 AM |
| Views | 1 |
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% |
1439
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
6107
1.14 KIPS |
|
|
Image Classification (Q)
|
97% |
7283
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5214
84.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10036
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7782
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
88290
103.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
153044
179.4 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
8178
648.7 IPS |
|
|
Object Detection (Q)
|
93% |
9963
795.0 IPS |
|
|
Face Detection (SP)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
11158
132.6 IPS |
|
|
Face Detection (Q)
|
100% |
13278
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4853
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42846
330.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
60008
469.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12589
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
128025
164.6 IPS |
|
|
Style Transfer (Q)
|
96% |
137838
177.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4222
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18187
671.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25788
952.2 IPS |
|
|
Text Classification (SP)
|
100% |
1857
2.48 KIPS |
|
|
Text Classification (HP)
|
71% |
4943
7.11 KIPS |
|
|
Text Classification (Q)
|
69% |
4593
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1920
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2600
44.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2598
44.9 IPS |
