iPhone 16 Pro
Geekbench AI Score
4530
Single Precision Score
33106
Half Precision Score
45932
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iJACguy |
| Upload Date | June 07 2025 04:11 AM |
| Views | 9 |
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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
15631
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
20494
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18125
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24310
394.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8667
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147422
172.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
289858
339.7 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
100% |
16228
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22561
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
41209
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
60252
715.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7842
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94428
727.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160240
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19569
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244098
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302573
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50106
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86212
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4882
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4466
5.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4266
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10043
173.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11407
197.1 IPS |
