iPhone 16 Pro
Geekbench AI Score
4528
Single Precision Score
33346
Half Precision Score
45195
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 26 2026 07:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2038
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
14650
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18573
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18064
292.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23646
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8576
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
145101
169.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
290328
340.3 IPS |
|
|
Object Detection (SP)
|
100% |
2281
180.9 IPS |
|
|
Object Detection (HP)
|
100% |
15660
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21713
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
40757
484.3 IPS |
|
|
Face Detection (Q)
|
100% |
55069
654.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7944
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94262
726.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
153911
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
21491
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245056
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297907
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5315
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51502
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79036
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6185
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6115
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4162
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9428
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10525
181.9 IPS |
