iPhone 16 Pro
Geekbench AI Score
4717
Single Precision Score
33175
Half Precision Score
46155
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | May 29 2025 07:10 AM |
| Views | 13 |
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% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
15209
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19892
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18348
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24175
391.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9846
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152891
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
281512
329.9 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
16735
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
23201
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3920
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
39652
471.2 IPS |
|
|
Face Detection (Q)
|
100% |
60995
724.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8337
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97133
748.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165577
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
20967
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246170
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303633
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5667
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52018
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86558
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4464
5.96 KIPS |
|
|
Text Classification (Q)
|
93% |
4554
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10275
177.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11558
199.7 IPS |
