iPhone 16 Pro
Geekbench AI Score
4708
Single Precision Score
32803
Half Precision Score
45317
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 09:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
15109
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
19686
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18429
298.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24247
393.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9419
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152829
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291807
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2383
189.0 IPS |
|
|
Object Detection (HP)
|
100% |
16367
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22537
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
4032
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
40355
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
56709
673.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8378
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95390
734.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
161983
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21525
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244475
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301998
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5398
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50414
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85924
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4373
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4366
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4258
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9984
172.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11181
193.2 IPS |
