iPhone 16 Pro
Geekbench AI Score
4693
Single Precision Score
33174
Half Precision Score
46084
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mullah_crekar |
| Upload Date | May 09 2025 11:32 PM |
| Views | 7 |
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% |
2092
389.1 IPS |
|
|
Image Classification (HP)
|
100% |
15459
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20117
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18364
297.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24324
394.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9437
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153097
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292389
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2344
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
16266
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22418
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
40829
485.1 IPS |
|
|
Face Detection (Q)
|
100% |
57488
683.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8270
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95172
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159513
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20807
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245308
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301439
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5670
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50200
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87438
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4627
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4938
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4287
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10315
177.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11286
195.0 IPS |
