iPhone 16 Pro
Geekbench AI Score
4472
Single Precision Score
33291
Half Precision Score
44640
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | November 07 2025 12:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2055
382.1 IPS |
|
|
Image Classification (HP)
|
100% |
14754
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
19373
3.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18149
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23808
385.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8287
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
142076
165.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
274461
321.7 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
15901
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21181
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3626
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
40752
484.2 IPS |
|
|
Face Detection (Q)
|
100% |
53712
638.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7731
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94113
725.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
151228
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
20446
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245212
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294279
379.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5211
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50904
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77441
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6166
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6098
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4140
71.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9366
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10384
179.4 IPS |
