iPhone 16 Pro
Geekbench AI Score
4577
Single Precision Score
33080
Half Precision Score
46007
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | attibug |
| Upload Date | March 19 2025 02:54 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2032
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
14989
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
19968
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18260
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24106
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8753
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153973
179.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
297425
348.6 IPS |
|
|
Object Detection (SP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (HP)
|
100% |
16769
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
23179
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41707
495.6 IPS |
|
|
Face Detection (Q)
|
100% |
60485
718.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7754
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96742
745.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166159
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24280
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245069
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303419
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52099
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85558
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4453
5.94 KIPS |
|
|
Text Classification (Q)
|
93% |
4334
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3870
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9681
166.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11323
195.7 IPS |
