iPhone 16 Pro
Geekbench AI Score
4717
Single Precision Score
32673
Half Precision Score
44665
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mullah_crekar |
| Upload Date | March 09 2025 10:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
15127
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
19366
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18239
295.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24036
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9717
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153723
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
294423
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
100% |
15993
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22086
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
4002
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
41162
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
56440
670.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94686
729.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159688
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21288
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245737
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
299787
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51211
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82837
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4211
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4235
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4144
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9898
170.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11015
190.3 IPS |
