iPhone 16 Pro
Geekbench AI Score
4806
Single Precision Score
33209
Half Precision Score
44745
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | November 04 2025 10:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2032
377.9 IPS |
|
|
Image Classification (HP)
|
100% |
14195
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
18396
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17969
291.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23656
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9881
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152842
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
294118
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2400
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
15465
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
20982
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3849
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
39865
473.7 IPS |
|
|
Face Detection (Q)
|
100% |
52447
623.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8423
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94461
727.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
155260
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
24253
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246969
317.5 IPS |
|
|
Style Transfer (Q)
|
96% |
294379
379.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52166
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79611
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6098
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6154
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4296
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9149
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10201
176.3 IPS |
