iPhone 16 Pro
Geekbench AI Score
4656
Single Precision Score
33242
Half Precision Score
46271
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 03:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
15303
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20640
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18323
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24212
392.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9252
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
155030
180.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
294465
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2201
174.6 IPS |
|
|
Object Detection (HP)
|
100% |
16278
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23044
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3740
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
40445
480.6 IPS |
|
|
Face Detection (Q)
|
100% |
57809
686.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8084
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95163
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160365
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24840
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244634
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303269
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5913
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52381
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84655
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4736
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4844
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3839
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9971
171.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11509
198.9 IPS |
