iPhone 16 Pro
Geekbench AI Score
4652
Single Precision Score
33088
Half Precision Score
45926
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 10:54 AM |
| Views | 3 |
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% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
15270
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
21277
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18332
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24043
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9401
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153098
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291814
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2344
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
16683
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22452
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
40348
479.4 IPS |
|
|
Face Detection (Q)
|
100% |
60676
721.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8249
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96627
744.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
158794
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20581
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244488
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
304176
392.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5345
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51126
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85525
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4431
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4411
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4281
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10189
175.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11265
194.7 IPS |
