iPhone 16 Pro
Geekbench AI Score
4442
Single Precision Score
32569
Half Precision Score
45229
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | December 11 2024 05:39 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
369.0 IPS |
|
|
Image Classification (HP)
|
100% |
15486
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
19941
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18399
298.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24064
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8581
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153649
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293994
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2101
166.6 IPS |
|
|
Object Detection (HP)
|
100% |
16187
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22373
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
42007
499.1 IPS |
|
|
Face Detection (Q)
|
100% |
58400
693.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7627
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95674
737.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161256
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23409
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244711
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303666
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5354
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50238
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83644
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4101
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4113
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9353
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11537
199.4 IPS |
