iPhone 16 Pro
Geekbench AI Score
4626
Single Precision Score
33124
Half Precision Score
45579
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
15247
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20003
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18136
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24006
389.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9283
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153532
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291675
341.9 IPS |
|
|
Object Detection (SP)
|
100% |
2342
185.8 IPS |
|
|
Object Detection (HP)
|
100% |
16332
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22616
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3879
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
40020
475.5 IPS |
|
|
Face Detection (Q)
|
100% |
58858
699.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8392
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95340
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160601
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20528
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244945
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302674
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5599
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50815
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84980
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4677
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4535
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4097
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10326
177.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11081
191.5 IPS |
