iPhone 16 Pro
Geekbench AI Score
4640
Single Precision Score
32954
Half Precision Score
46169
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 08 2025 06:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
15188
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20643
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18261
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24102
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8910
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152657
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292345
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2359
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
16266
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22828
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3889
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
40510
481.3 IPS |
|
|
Face Detection (Q)
|
100% |
58972
700.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95225
733.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162736
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
20290
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244405
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301972
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5566
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51178
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85601
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4405
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4546
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4286
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10319
177.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11752
203.1 IPS |
