iPhone 16 Pro
Geekbench AI Score
4624
Single Precision Score
33382
Half Precision Score
45934
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | SAMZIRRA |
| Upload Date | August 08 2025 08:34 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
15483
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20782
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18296
296.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24036
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9098
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151137
176.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
290614
340.6 IPS |
|
|
Object Detection (SP)
|
100% |
2321
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
16282
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22827
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
41156
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
57562
684.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8246
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95125
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162978
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
20171
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245558
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
299403
386.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5323
196.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51819
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84190
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3466
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4896
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4674
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4260
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10109
174.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11419
197.3 IPS |
