iPhone 16 Pro
Geekbench AI Score
6202
Single Precision Score
7064
Half Precision Score
6823
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 08:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3011
560.0 IPS |
|
|
Image Classification (HP)
|
100% |
2657
494.1 IPS |
|
|
Image Classification (Q)
|
96% |
3078
574.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4447
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4934
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4712
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15676
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17224
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16984
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3363
266.8 IPS |
|
|
Object Detection (HP)
|
100% |
3475
275.7 IPS |
|
|
Object Detection (Q)
|
92% |
3407
272.0 IPS |
|
|
Face Detection (SP)
|
100% |
7803
92.7 IPS |
|
|
Face Detection (HP)
|
100% |
10794
128.3 IPS |
|
|
Face Detection (Q)
|
100% |
8654
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13568
104.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15212
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13974
109.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33015
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38790
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38254
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8093
298.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8286
305.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7587
280.2 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1273
22.0 IPS |
