iPhone 16 Pro
Geekbench AI Score
4731
Single Precision Score
32956
Half Precision Score
45353
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | k9fgt |
| Upload Date | December 22 2025 06:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
15262
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19342
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18336
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24165
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9555
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153750
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292707
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2362
187.4 IPS |
|
|
Object Detection (HP)
|
100% |
16305
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22725
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4033
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
39868
473.7 IPS |
|
|
Face Detection (Q)
|
100% |
56797
674.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8379
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96248
741.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159205
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
21180
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245419
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300389
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5661
209.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50827
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84502
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4388
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4466
5.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4340
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10257
176.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11555
199.7 IPS |
