iPhone 16 Pro
Geekbench AI Score
4553
Single Precision Score
31527
Half Precision Score
44921
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhonedo |
| Upload Date | March 03 2025 03:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
15330
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
21351
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18301
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24295
393.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8847
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
154145
179.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297298
348.5 IPS |
|
|
Object Detection (SP)
|
100% |
2170
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
16402
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22542
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3691
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
41535
493.5 IPS |
|
|
Face Detection (Q)
|
100% |
57441
682.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8003
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96272
741.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
165030
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23784
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245856
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304259
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5631
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52536
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86829
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3315
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10299
177.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11594
200.4 IPS |
