iPhone 16 Pro
Geekbench AI Score
4754
Single Precision Score
32703
Half Precision Score
45684
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 30 2025 09:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
15283
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20469
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18123
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24159
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9666
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153685
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292483
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2378
188.6 IPS |
|
|
Object Detection (HP)
|
100% |
16196
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22468
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3971
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
41210
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
58441
694.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8369
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95197
733.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159988
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21337
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245402
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
304627
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5913
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51183
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85811
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4522
6.04 KIPS |
|
|
Text Classification (Q)
|
93% |
4422
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4295
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9110
156.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11274
194.8 IPS |
