iPhone 16 Pro
Geekbench AI Score
4724
Single Precision Score
33439
Half Precision Score
45020
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ntpudpp |
| Upload Date | November 13 2025 06:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
14386
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18831
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18125
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23752
385.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9290
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
152483
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292591
342.9 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
15667
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21485
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
40438
480.5 IPS |
|
|
Face Detection (Q)
|
100% |
53413
634.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8296
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94208
725.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
151152
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
23026
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
246053
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
295232
381.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5688
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51075
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79832
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6174
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6093
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4224
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9494
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10494
181.3 IPS |
