iPhone 16 Pro
Geekbench AI Score
4696
Single Precision Score
33217
Half Precision Score
45875
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 10:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
15510
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20525
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18445
299.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24122
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9318
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153374
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294101
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
100% |
16297
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23117
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3999
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
40532
481.6 IPS |
|
|
Face Detection (Q)
|
100% |
57499
683.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8432
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95262
733.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159835
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20995
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245758
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300645
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50772
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86279
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4639
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4422
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4257
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10235
176.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11635
201.1 IPS |
