iPhone 16 Pro
Geekbench AI Score
4812
Single Precision Score
32744
Half Precision Score
45410
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | June 22 2025 05:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
15146
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
21404
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18295
296.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24001
389.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10074
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153797
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
294967
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.5 IPS |
|
|
Object Detection (HP)
|
100% |
16300
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22303
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
4059
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
40061
476.0 IPS |
|
|
Face Detection (Q)
|
100% |
56859
675.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8500
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95429
735.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159841
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22064
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244592
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300776
388.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50926
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85534
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4300
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4275
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4320
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9961
171.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11039
190.8 IPS |
