iPhone 16 Pro
Geekbench AI Score
4791
Single Precision Score
32881
Half Precision Score
45430
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
15235
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
21524
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18434
298.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24077
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9920
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153104
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292417
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
16398
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22533
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
4044
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
40203
477.7 IPS |
|
|
Face Detection (Q)
|
100% |
56879
675.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8510
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95082
732.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159554
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21801
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244935
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300574
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5914
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50166
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83999
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4376
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4233
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4329
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10196
175.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11308
195.4 IPS |
