iPhone 16 Pro
Geekbench AI Score
4704
Single Precision Score
32974
Half Precision Score
46071
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mojay0103 |
| Upload Date | November 20 2025 09:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
15203
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20031
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18371
297.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24100
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9503
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153005
178.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292178
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
100% |
16166
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22570
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3953
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
40282
478.6 IPS |
|
|
Face Detection (Q)
|
100% |
57010
677.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8399
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95937
739.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
159040
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
21158
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245121
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300269
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5684
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50167
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86239
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4578
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5048
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10112
174.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11420
197.3 IPS |
