iPhone 16 Pro
Geekbench AI Score
4466
Single Precision Score
31004
Half Precision Score
44189
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 04:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1964
365.3 IPS |
|
|
Image Classification (HP)
|
100% |
15594
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
22014
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18191
294.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24008
389.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7523
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
147941
172.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292914
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
100% |
16311
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22448
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3875
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
41179
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
60910
723.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8118
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95261
733.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162776
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
19905
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244932
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300598
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5511
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50729
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85434
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2895
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4332
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10053
173.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11083
191.5 IPS |
