iPhone 16 Pro
Geekbench AI Score
4542
Single Precision Score
32993
Half Precision Score
45908
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 19 2025 07:40 AM |
| Views | 1 |
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% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
15196
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20713
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18341
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24189
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8685
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153458
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293451
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2162
171.5 IPS |
|
|
Object Detection (HP)
|
100% |
16275
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22360
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3675
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
41235
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
57028
677.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7821
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95007
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159930
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24070
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244576
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300907
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5532
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50542
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85331
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4544
6.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4759
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3838
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9979
171.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11349
196.1 IPS |
