iPhone 15 Pro
Geekbench AI Score
5073
Single Precision Score
5890
Half Precision Score
5336
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | edsinsi |
| Upload Date | December 07 2024 05:25 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.3 IPS |
|
|
Image Classification (Q)
|
97% |
1840
343.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3058
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3962
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4024
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15185
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15899
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15037
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (HP)
|
100% |
3154
250.2 IPS |
|
|
Object Detection (Q)
|
91% |
2474
197.7 IPS |
|
|
Face Detection (SP)
|
100% |
6683
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
8964
106.5 IPS |
|
|
Face Detection (Q)
|
100% |
6310
75.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11862
91.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12839
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10962
85.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30111
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35091
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33929
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6465
238.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5587
206.3 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5598
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
927
16.0 IPS |
