iPhone 16 Pro
Geekbench AI Score
4589
Single Precision Score
33087
Half Precision Score
45574
Quantized Score
Geekbench AI 1.5.0 Corporate for iOS AArch64
Result Information
| Upload Date | September 02 2025 08:02 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% |
2045
380.4 IPS |
|
|
Image Classification (HP)
|
100% |
15395
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20245
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18222
295.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24008
389.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9157
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152000
177.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
291944
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
16323
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22769
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3785
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
41010
487.3 IPS |
|
|
Face Detection (Q)
|
100% |
56461
670.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95366
734.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160431
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19971
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244909
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302597
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5570
205.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50806
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86055
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4517
6.03 KIPS |
|
|
Text Classification (Q)
|
93% |
4518
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4128
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10279
177.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11227
194.0 IPS |
