iPhone 16 Pro
Geekbench AI Score
4533
Single Precision Score
33030
Half Precision Score
45886
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Jfreshh330 |
| Upload Date | December 04 2024 06:18 PM |
| Views | 9 |
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% |
1970
366.3 IPS |
|
|
Image Classification (HP)
|
100% |
15441
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20879
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18142
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23919
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8772
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154182
179.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292926
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2100
166.5 IPS |
|
|
Object Detection (HP)
|
100% |
16255
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22656
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
41702
495.5 IPS |
|
|
Face Detection (Q)
|
100% |
58231
691.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7855
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95241
733.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160488
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23953
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246527
316.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301402
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5737
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50018
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84649
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4822
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4641
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3833
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9323
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11284
195.0 IPS |
