iPhone 16 Pro
Geekbench AI Score
4667
Single Precision Score
33175
Half Precision Score
46376
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | vintatsh |
| Upload Date | July 09 2025 09:29 AM |
| Views | 11 |
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% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
15288
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20236
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18329
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24411
395.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9305
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152743
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
291903
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2365
187.6 IPS |
|
|
Object Detection (HP)
|
100% |
16180
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22572
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3944
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
40822
485.1 IPS |
|
|
Face Detection (Q)
|
100% |
57555
683.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8242
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95210
733.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159996
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20370
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244721
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301875
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5504
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50136
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85244
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3399
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4796
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5170
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10198
175.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11541
199.4 IPS |
