iPhone 16 Pro
Geekbench AI Score
4610
Single Precision Score
32802
Half Precision Score
45481
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | May 13 2025 01:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
15409
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20973
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18282
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24030
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9016
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152425
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292275
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
16211
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22941
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
40320
479.1 IPS |
|
|
Face Detection (Q)
|
100% |
57193
679.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8216
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95194
733.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159505
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20241
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244430
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302133
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5219
192.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50011
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84736
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4348
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4409
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4301
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10157
175.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10884
188.1 IPS |
