iPhone 16 Pro
Geekbench AI Score
4715
Single Precision Score
33330
Half Precision Score
44953
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | r1ck3tt |
| Upload Date | October 23 2025 10:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
14275
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
18550
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18121
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23689
384.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9420
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152471
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293722
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
100% |
15574
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21461
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3801
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
39968
474.9 IPS |
|
|
Face Detection (Q)
|
100% |
53304
633.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8358
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94460
727.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
149929
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
23143
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245655
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
294745
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5629
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51094
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79558
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6179
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6149
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4241
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9408
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10558
182.4 IPS |
