iPhone 16 Pro
Geekbench AI Score
4704
Single Precision Score
33065
Half Precision Score
45955
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Appler |
| Upload Date | September 29 2025 12:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
15559
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20590
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18316
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24152
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9301
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152678
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292094
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2368
187.8 IPS |
|
|
Object Detection (HP)
|
100% |
16300
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23231
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
39980
475.1 IPS |
|
|
Face Detection (Q)
|
100% |
57818
687.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8388
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95722
737.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160679
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20910
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244680
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300298
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5648
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50978
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84991
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4514
6.03 KIPS |
|
|
Text Classification (Q)
|
93% |
4473
6.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4328
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10223
176.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11738
202.8 IPS |
