iPhone 16 Pro
Geekbench AI Score
4553
Single Precision Score
34085
Half Precision Score
46397
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | aniparuc |
| Upload Date | July 26 2025 07:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2029
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
14667
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
19302
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1817
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17997
291.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23522
381.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8874
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
150621
175.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
290618
340.6 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
15978
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21892
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
3615
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
39848
473.5 IPS |
|
|
Face Detection (Q)
|
100% |
54642
649.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8037
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
93414
719.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
152660
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21248
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244107
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
294493
380.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5439
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51683
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79534
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6394
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6370
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4113
70.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11098
191.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12859
222.2 IPS |
