iPhone 16 Pro
Geekbench AI Score
4563
Single Precision Score
33130
Half Precision Score
46201
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 10:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2014
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
15263
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20673
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18143
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24081
390.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8922
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154133
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293690
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.1 IPS |
|
|
Object Detection (HP)
|
100% |
16465
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22413
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
41231
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
59242
703.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7859
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
96665
744.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160522
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24062
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244600
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301340
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5711
210.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51520
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83818
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4966
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9424
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11339
195.9 IPS |
