iPhone 16 Pro
Geekbench AI Score
4764
Single Precision Score
33457
Half Precision Score
45143
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 04:43 AM |
| 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% |
2037
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
14128
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
18464
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18066
292.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23616
382.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9743
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152911
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
294104
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (HP)
|
100% |
15666
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21330
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3862
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
40344
479.4 IPS |
|
|
Face Detection (Q)
|
100% |
53749
638.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8409
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94241
726.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
155014
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
24280
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246648
317.1 IPS |
|
|
Style Transfer (Q)
|
96% |
295095
380.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52485
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80445
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3690
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6197
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6137
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4225
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9426
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10587
183.0 IPS |
