iPhone 15 Pro
Geekbench AI Score
5112
Single Precision Score
5935
Half Precision Score
5459
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mexa |
| Upload Date | April 03 2025 07:16 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1967
365.8 IPS |
|
|
Image Classification (HP)
|
100% |
1952
362.9 IPS |
|
|
Image Classification (Q)
|
96% |
1596
298.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3687
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4209
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4073
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13499
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14386
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13844
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2615
207.5 IPS |
|
|
Object Detection (HP)
|
100% |
2752
218.3 IPS |
|
|
Object Detection (Q)
|
92% |
2414
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
6306
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
8809
104.7 IPS |
|
|
Face Detection (Q)
|
100% |
6989
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11650
89.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12053
92.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11105
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27597
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32712
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31715
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5700
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6153
227.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5605
207.0 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5704
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5689
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1380
23.8 IPS |
