iPhone 16 Pro
Geekbench AI Score
4274
Single Precision Score
32659
Half Precision Score
45994
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 06 2025 05:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
15138
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
21110
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18188
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24028
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9082
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154260
180.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294585
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2169
172.0 IPS |
|
|
Object Detection (HP)
|
100% |
16314
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22910
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
40162
477.2 IPS |
|
|
Face Detection (Q)
|
100% |
58902
699.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6353
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
89635
690.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
155343
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
18485
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235255
302.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295030
380.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5269
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50432
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85511
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4627
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4703
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10082
173.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11401
197.0 IPS |
