iPhone 16 Pro
Geekbench AI Score
6190
Single Precision Score
6978
Half Precision Score
6729
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TSTR |
| Upload Date | March 05 2025 03:32 PM |
| Views | 5 |
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% |
2817
523.9 IPS |
|
|
Image Classification (HP)
|
100% |
2599
483.3 IPS |
|
|
Image Classification (Q)
|
96% |
3128
584.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4430
71.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4916
79.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4748
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15694
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16473
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16006
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
3375
267.7 IPS |
|
|
Object Detection (HP)
|
100% |
3451
273.7 IPS |
|
|
Object Detection (Q)
|
92% |
3169
252.9 IPS |
|
|
Face Detection (SP)
|
100% |
7894
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
10720
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
8572
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13557
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14589
112.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
13831
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33361
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37943
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37712
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8085
298.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8446
311.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7591
280.3 IPS |
|
|
Text Classification (SP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5884
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5813
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1282
22.2 IPS |
