iPhone 16 Pro
Geekbench AI Score
6204
Single Precision Score
6830
Half Precision Score
6830
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | daromeer |
| Upload Date | May 07 2025 08:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2990
556.1 IPS |
|
|
Image Classification (HP)
|
100% |
1866
347.0 IPS |
|
|
Image Classification (Q)
|
96% |
3108
580.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4434
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4878
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4704
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15684
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16419
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
15990
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3344
265.2 IPS |
|
|
Object Detection (HP)
|
100% |
3669
291.0 IPS |
|
|
Object Detection (Q)
|
92% |
3379
269.7 IPS |
|
|
Face Detection (SP)
|
100% |
7968
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
10909
129.6 IPS |
|
|
Face Detection (Q)
|
100% |
8855
105.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13975
107.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15273
117.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
14157
110.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32854
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38154
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38195
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8055
297.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8408
310.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7540
278.4 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5877
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6049
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1281
22.1 IPS |
