iPhone 16 Pro
Geekbench AI Score
5755
Single Precision Score
6774
Half Precision Score
6180
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 12 2025 08:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2619
487.1 IPS |
|
|
Image Classification (HP)
|
100% |
2641
491.1 IPS |
|
|
Image Classification (Q)
|
97% |
2884
538.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3473
56.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4416
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4391
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15738
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16468
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15749
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3182
252.4 IPS |
|
|
Object Detection (HP)
|
100% |
3539
280.7 IPS |
|
|
Object Detection (Q)
|
91% |
3112
248.7 IPS |
|
|
Face Detection (SP)
|
100% |
8201
97.4 IPS |
|
|
Face Detection (HP)
|
100% |
11071
131.5 IPS |
|
|
Face Detection (Q)
|
100% |
7692
91.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14088
108.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15216
117.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12633
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32797
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38320
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37231
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7989
295.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8412
310.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6830
252.2 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5940
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5838
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
909
15.7 IPS |
