iPhone 16 Pro
Geekbench AI Score
4539
Single Precision Score
33705
Half Precision Score
45496
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 11:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
14284
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
18195
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18160
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23622
382.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8818
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
150473
175.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291470
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2321
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
15866
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21485
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3690
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
40086
476.3 IPS |
|
|
Face Detection (Q)
|
100% |
53189
632.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7984
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94109
725.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
150789
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
21693
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245191
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296568
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5219
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50774
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78764
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3368
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5792
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5758
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4115
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11235
193.5 IPS |
|
|
Machine Translation (Q)
|
98% |
13089
226.2 IPS |
