iPhone 16 Pro
Geekbench AI Score
4799
Single Precision Score
32925
Half Precision Score
45303
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | June 22 2025 05:48 AM |
| Views | 2 |
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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
15227
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20162
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18276
296.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23726
384.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9947
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153503
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293169
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
16297
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22760
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4035
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
41186
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
57920
688.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95307
734.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159670
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22203
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245402
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300204
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52629
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86545
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4255
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4293
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9971
171.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11062
191.2 IPS |
