iPhone 16 Pro
Geekbench AI Score
4586
Single Precision Score
7776
Half Precision Score
6164
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 05:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.4 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2826
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3289
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9105
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17982
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15350
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3896
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
7542
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4109
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8077
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14121
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9515
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19998
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37131
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30333
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5343
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7311
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5153
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4271
73.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7345
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7389
127.7 IPS |
