iPhone 16 Pro
Geekbench AI Score
4600
Single Precision Score
32886
Half Precision Score
45754
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | A481216 |
| Upload Date | December 27 2024 06:43 PM |
| Views | 2 |
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% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
15352
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
19452
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18291
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24246
393.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9045
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153284
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293676
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2189
173.6 IPS |
|
|
Object Detection (HP)
|
100% |
16271
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22578
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3701
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
41158
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
57626
684.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7991
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94993
731.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160578
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24593
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244712
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301339
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5663
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50230
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85173
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4568
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4736
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9625
165.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11431
197.5 IPS |
