iPhone 16 Pro
Geekbench AI Score
6180
Single Precision Score
6933
Half Precision Score
6680
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mullah_crekar |
| Upload Date | March 09 2025 10:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2968
552.0 IPS |
|
|
Image Classification (HP)
|
100% |
2584
480.6 IPS |
|
|
Image Classification (Q)
|
96% |
3038
567.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4496
72.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4928
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4743
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15659
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16318
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15949
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3395
269.3 IPS |
|
|
Object Detection (HP)
|
100% |
3443
273.1 IPS |
|
|
Object Detection (Q)
|
92% |
3175
253.4 IPS |
|
|
Face Detection (SP)
|
100% |
7938
94.3 IPS |
|
|
Face Detection (HP)
|
100% |
10806
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
8607
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13566
104.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14470
111.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13944
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33234
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37384
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37853
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8001
295.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8374
309.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7509
277.3 IPS |
|
|
Text Classification (SP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
5843
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5688
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1250
21.6 IPS |
