iPhone 16 Pro
Geekbench AI Score
4644
Single Precision Score
33144
Half Precision Score
46452
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MGGeekBench24 |
| Upload Date | December 17 2024 08:44 AM |
| Views | 6 |
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% |
1975
367.3 IPS |
|
|
Image Classification (HP)
|
100% |
15362
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21745
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18445
299.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24191
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9178
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
156222
182.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
295683
346.6 IPS |
|
|
Object Detection (SP)
|
100% |
2197
174.3 IPS |
|
|
Object Detection (HP)
|
100% |
16233
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22574
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
41182
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
57506
683.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8065
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95169
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160469
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
25005
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245053
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301036
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5936
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50445
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84123
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4795
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4984
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3815
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9585
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11439
197.7 IPS |
