iPhone 16 Pro
Geekbench AI Score
4579
Single Precision Score
32924
Half Precision Score
45759
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 12 2025 10:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
15510
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
19767
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18269
296.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24063
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9140
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153713
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
296937
348.0 IPS |
|
|
Object Detection (SP)
|
100% |
2175
172.6 IPS |
|
|
Object Detection (HP)
|
100% |
16461
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22967
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3628
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
41254
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
58338
693.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8040
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95879
738.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
163216
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24158
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245102
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303239
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5754
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52203
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84505
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4347
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4440
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9491
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11455
198.0 IPS |
