iPhone 16 Pro
Geekbench AI Score
4569
Single Precision Score
33315
Half Precision Score
44804
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | September 17 2025 01:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
14953
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
18696
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18138
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23765
385.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8675
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
144471
168.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
281677
330.1 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (HP)
|
100% |
15556
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21339
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3710
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
40037
475.7 IPS |
|
|
Face Detection (Q)
|
100% |
53143
631.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7923
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94963
731.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
150027
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
21215
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245185
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296280
382.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5439
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52464
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80754
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6206
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6130
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4167
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9105
156.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10439
180.4 IPS |
