iPhone 16 Pro
Geekbench AI Score
5842
Single Precision Score
6688
Half Precision Score
6101
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 15 2025 11:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3090
574.7 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.6 IPS |
|
|
Image Classification (Q)
|
97% |
2730
509.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3574
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4430
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4393
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15727
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16447
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15690
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3256
258.3 IPS |
|
|
Object Detection (HP)
|
100% |
3582
284.1 IPS |
|
|
Object Detection (Q)
|
91% |
2985
238.5 IPS |
|
|
Face Detection (SP)
|
100% |
8038
95.5 IPS |
|
|
Face Detection (HP)
|
100% |
11072
131.6 IPS |
|
|
Face Detection (Q)
|
100% |
7572
90.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14069
108.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15128
116.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12602
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32791
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39451
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37193
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8166
301.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8524
314.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7059
260.6 IPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5907
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5878
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
865
15.0 IPS |
