iPhone 16 Pro
Geekbench AI Score
4593
Single Precision Score
32886
Half Precision Score
45643
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 31 2025 01:50 PM |
| Views | 1 |
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
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
15373
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21478
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18359
297.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24205
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8908
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
150378
175.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291924
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
16320
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22679
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3979
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
40449
480.6 IPS |
|
|
Face Detection (Q)
|
100% |
57332
681.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8110
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95802
738.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
158970
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
19766
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
246358
316.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301094
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5302
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50502
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84233
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4378
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4368
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10120
174.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11294
195.2 IPS |
