iPhone 16 Pro
Geekbench AI Score
4531
Single Precision Score
33268
Half Precision Score
45944
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2050
381.3 IPS |
|
|
Image Classification (HP)
|
100% |
15459
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20139
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18327
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24154
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8706
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154325
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293282
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
16487
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22346
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
41358
491.4 IPS |
|
|
Face Detection (Q)
|
100% |
58582
696.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7699
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95112
732.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162734
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23756
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244334
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302329
390.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5602
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49923
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83596
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4876
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4782
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3814
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9849
169.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11410
197.2 IPS |
