iPhone 16 Pro
Geekbench AI Score
3715
Single Precision Score
27003
Half Precision Score
37451
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 06 2025 07:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
12616
2.35 KIPS |
|
|
Image Classification (Q)
|
97% |
16850
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15212
246.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20845
337.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8261
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
97309
113.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
189251
221.8 IPS |
|
|
Object Detection (SP)
|
100% |
1971
156.3 IPS |
|
|
Object Detection (HP)
|
100% |
13872
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17551
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2684
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
29705
353.0 IPS |
|
|
Face Detection (Q)
|
100% |
43379
515.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6879
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
77746
599.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
131077
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
19629
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
174219
224.0 IPS |
|
|
Style Transfer (Q)
|
96% |
248425
320.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4912
181.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41638
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63565
2.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5332
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5385
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2162
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8909
153.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9623
166.3 IPS |
