iPhone 16 Pro
Geekbench AI Score
4310
Single Precision Score
33177
Half Precision Score
44888
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 29 2026 05:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1762
327.7 IPS |
|
|
Image Classification (HP)
|
100% |
14582
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
18654
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18117
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23746
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7249
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
140140
163.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
279021
327.0 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
15499
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21299
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
40554
481.9 IPS |
|
|
Face Detection (Q)
|
100% |
53913
640.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7753
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94213
725.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
152556
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
20800
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245072
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296233
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5252
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51429
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79844
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6157
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6118
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4157
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9498
163.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10601
183.2 IPS |
