iPhone 16 Pro
Geekbench AI Score
4738
Single Precision Score
33394
Half Precision Score
45049
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 09:17 AM |
| Views | 2 |
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% |
2044
380.2 IPS |
|
|
Image Classification (HP)
|
100% |
14574
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
18824
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18118
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23642
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8669
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147422
172.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
290388
340.4 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.9 IPS |
|
|
Object Detection (HP)
|
100% |
15881
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21148
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3749
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
39845
473.4 IPS |
|
|
Face Detection (Q)
|
100% |
54630
649.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8413
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94400
727.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
154489
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
24331
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
246234
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
294927
380.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52291
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79341
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3725
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6127
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6130
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4285
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9403
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10405
179.8 IPS |
