iPhone 16 Pro
Geekbench AI Score
4772
Single Precision Score
33398
Half Precision Score
46490
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 08:35 AM |
| Views | 12 |
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% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
15184
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
22416
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18347
297.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24271
393.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9620
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152824
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292852
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2393
189.8 IPS |
|
|
Object Detection (HP)
|
100% |
16466
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22715
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4041
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
40148
477.0 IPS |
|
|
Face Detection (Q)
|
100% |
58367
693.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8433
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96546
743.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160792
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21467
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244837
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300082
387.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5908
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52140
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84685
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4884
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4796
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4319
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10194
175.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11395
196.9 IPS |
