iPhone 16 Pro
Geekbench AI Score
4643
Single Precision Score
32764
Half Precision Score
45804
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | February 16 2025 10:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
14949
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
20008
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18329
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24203
392.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9200
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153554
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294455
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.6 IPS |
|
|
Object Detection (HP)
|
100% |
16043
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22167
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3712
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
40693
483.5 IPS |
|
|
Face Detection (Q)
|
100% |
57313
681.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8061
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95073
732.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162064
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24949
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244484
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300260
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5912
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50554
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83740
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4654
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4874
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9491
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11299
195.3 IPS |
