iPhone 16 Pro
Geekbench AI Score
4527
Single Precision Score
33092
Half Precision Score
45989
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 10:47 AM |
| Views | 12 |
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% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
15487
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20860
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18335
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24104
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8625
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
145332
169.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
290741
340.8 IPS |
|
|
Object Detection (SP)
|
100% |
2317
183.8 IPS |
|
|
Object Detection (HP)
|
100% |
16337
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22419
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3855
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
40154
477.1 IPS |
|
|
Face Detection (Q)
|
100% |
58034
689.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7992
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94818
730.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159600
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19156
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244552
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302640
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5190
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50747
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84141
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4813
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4734
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4281
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10273
176.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11566
199.9 IPS |
