iPhone 16 Pro
Geekbench AI Score
4442
Single Precision Score
33148
Half Precision Score
46233
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | May 15 2025 05:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
15755
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
21188
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18468
299.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24193
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8386
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
143969
168.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
286825
336.2 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
100% |
16216
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22561
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3826
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
41237
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
59160
702.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7800
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94419
727.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159607
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
18536
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244724
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301936
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5047
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50762
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83803
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4777
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5018
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4206
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10205
175.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11221
193.9 IPS |
