iPhone 16 Pro
Geekbench AI Score
4577
Single Precision Score
33579
Half Precision Score
45114
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 09:31 AM |
| Views | 1 |
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% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
14859
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
17897
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18104
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23704
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8904
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152458
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292513
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
15681
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21643
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3762
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
40311
479.0 IPS |
|
|
Face Detection (Q)
|
100% |
53630
637.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8146
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94412
727.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
155495
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
21773
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245232
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297285
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5239
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51337
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80453
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6245
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6206
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4069
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9473
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10506
181.6 IPS |
