iPhone 16 Pro
Geekbench AI Score
4695
Single Precision Score
31837
Half Precision Score
43178
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 05:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
15544
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20621
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18330
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24164
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9333
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152683
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
291651
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
100% |
16263
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22748
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4004
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
40842
485.3 IPS |
|
|
Face Detection (Q)
|
100% |
57071
678.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97366
750.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
159663
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20815
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244506
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299185
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5697
210.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50305
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83589
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2763
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4315
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10176
175.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10822
187.0 IPS |
