iPhone 16 Pro
Geekbench AI Score
4666
Single Precision Score
33274
Half Precision Score
45928
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | July 11 2025 03:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2086
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
15373
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20911
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18427
298.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24039
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9312
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152596
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291673
341.9 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (HP)
|
100% |
16289
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22415
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
40632
482.8 IPS |
|
|
Face Detection (Q)
|
100% |
57404
682.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8204
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95035
732.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159428
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20715
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245308
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300916
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5544
204.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50344
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84887
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4880
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4826
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10154
174.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11264
194.7 IPS |
