iPhone 16 Pro
Geekbench AI Score
4622
Single Precision Score
33573
Half Precision Score
45043
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | enfwngzer |
| Upload Date | September 07 2025 11:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
14774
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18803
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18149
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23611
382.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8991
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152543
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291960
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2334
185.1 IPS |
|
|
Object Detection (HP)
|
100% |
15867
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21232
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
40316
479.0 IPS |
|
|
Face Detection (Q)
|
100% |
53187
632.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8203
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94330
726.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
153256
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
22589
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246477
316.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296101
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5396
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50899
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80722
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6238
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6151
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4142
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9420
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10425
180.2 IPS |
