iPhone 15 Pro
Geekbench AI Score
4953
Single Precision Score
5865
Half Precision Score
4492
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | August 18 2024 07:53 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1920
357.0 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.0 IPS |
|
|
Image Classification (Q)
|
99% |
2210
412.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3062
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3934
63.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3957
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15148
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15951
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14598
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2768
219.5 IPS |
|
|
Object Detection (HP)
|
100% |
2581
204.7 IPS |
|
|
Object Detection (Q)
|
91% |
2293
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
6209
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
8952
106.4 IPS |
|
|
Face Detection (Q)
|
100% |
6427
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11573
89.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13271
102.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
1833
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28909
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35876
46.1 IPS |
|
|
Style Transfer (Q)
|
100% |
34309
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6029
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6285
232.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5320
197.1 IPS |
|
|
Text Classification (SP)
|
100% |
3180
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5502
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5510
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
966
16.7 IPS |
