iPhone 16 Pro
Geekbench AI Score
4760
Single Precision Score
33045
Half Precision Score
46182
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 08:44 AM |
| Views | 2 |
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% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
15085
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20246
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18342
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24130
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9769
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153144
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292369
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2387
189.3 IPS |
|
|
Object Detection (HP)
|
100% |
16252
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22449
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
4035
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
39908
474.2 IPS |
|
|
Face Detection (Q)
|
100% |
59597
708.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8380
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95097
732.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160290
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21375
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245363
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300675
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5862
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51045
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84348
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4697
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4887
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4260
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10099
174.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11626
200.9 IPS |
