iPhone 16 Pro
Geekbench AI Score
4416
Single Precision Score
32693
Half Precision Score
46114
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | stableconfusion |
| Upload Date | December 24 2024 12:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
14981
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
20839
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18222
295.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24138
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8318
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
147915
172.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293273
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2095
166.2 IPS |
|
|
Object Detection (HP)
|
100% |
16415
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23257
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
41185
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
58267
692.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7423
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95003
731.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160296
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22416
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244594
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304090
392.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5484
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50581
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83636
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4376
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4486
6.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3801
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9936
171.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11896
205.6 IPS |
