iPhone 16 Pro
Geekbench AI Score
4725
Single Precision Score
33458
Half Precision Score
46960
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
15784
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
21358
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2036
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18466
299.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24224
392.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9587
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152883
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
294106
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2365
187.6 IPS |
|
|
Object Detection (HP)
|
100% |
16723
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
23216
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4002
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
41551
493.7 IPS |
|
|
Face Detection (Q)
|
100% |
60775
722.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8359
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
96616
744.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
164670
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21207
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245111
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303788
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52540
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88280
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4611
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4774
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4224
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9896
170.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11524
199.1 IPS |
