iPhone 16 Pro
Geekbench AI Score
4676
Single Precision Score
32037
Half Precision Score
45002
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 15 2025 08:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
14876
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
19979
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18321
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24225
392.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9435
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154372
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294573
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2207
175.1 IPS |
|
|
Object Detection (HP)
|
100% |
16317
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22463
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
40331
479.2 IPS |
|
|
Face Detection (Q)
|
100% |
58012
689.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8134
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95195
733.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162106
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24935
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245382
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301176
388.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50509
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83609
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3748
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3859
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9304
160.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11246
194.4 IPS |
