iPhone 16 Pro
Geekbench AI Score
3969
Single Precision Score
31085
Half Precision Score
45078
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 01:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
15214
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20664
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18329
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24146
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9263
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154156
179.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
294283
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
16348
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22394
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
41272
490.4 IPS |
|
|
Face Detection (Q)
|
100% |
54144
643.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7186
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95234
733.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
134202
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
11582
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
240499
309.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302491
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3644
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42219
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84523
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4425
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4972
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3607
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6789
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11409
197.2 IPS |
