iPhone 16 Pro
Geekbench AI Score
4493
Single Precision Score
34054
Half Precision Score
46162
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 04:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
14763
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18817
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18086
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23698
384.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8902
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
150996
176.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
290449
340.4 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
16165
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
21255
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3582
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
40296
478.8 IPS |
|
|
Face Detection (Q)
|
100% |
54411
646.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7844
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94163
725.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
157352
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
21285
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245022
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297364
383.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5418
200.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52901
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82874
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5940
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5909
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4005
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11017
189.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12802
221.2 IPS |
