iPhone 16 Pro
Geekbench AI Score
4713
Single Precision Score
33396
Half Precision Score
44701
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
14227
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
18229
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18127
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23649
383.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9276
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
152194
177.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293283
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
15540
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21201
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3829
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
40633
482.8 IPS |
|
|
Face Detection (Q)
|
100% |
54035
642.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8297
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94326
726.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
149947
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
23335
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245698
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
294243
379.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51290
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79751
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6117
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6083
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4257
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9578
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10276
177.6 IPS |
