iPhone 16 Pro
Geekbench AI Score
4455
Single Precision Score
32691
Half Precision Score
45421
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 04 2025 02:01 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% |
2008
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
15382
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
19637
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18368
297.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24106
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8508
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
153096
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293415
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2131
169.0 IPS |
|
|
Object Detection (HP)
|
100% |
16347
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22676
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
41218
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
57782
686.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7631
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95332
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160174
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23672
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244312
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301985
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5287
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50080
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84295
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4367
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4408
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3795
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9393
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11428
197.5 IPS |
