iPhone 16 Pro
Geekbench AI Score
4546
Single Precision Score
32818
Half Precision Score
46225
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aIpaca |
| Upload Date | February 11 2025 06:55 AM |
| Views | 8 |
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% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
15167
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20592
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18333
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24193
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8652
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153502
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293076
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (HP)
|
100% |
16170
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22392
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3647
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
41247
490.1 IPS |
|
|
Face Detection (Q)
|
100% |
60092
714.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7794
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95880
738.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159848
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23758
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244451
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300520
387.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5671
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50528
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83054
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4480
5.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5020
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3833
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9597
165.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11322
195.7 IPS |
