iPhone 16 Pro
Geekbench AI Score
4356
Single Precision Score
32798
Half Precision Score
45731
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 18 2025 05:38 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
15132
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20450
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18179
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23986
388.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8156
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
149866
174.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292428
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
16317
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22480
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
41125
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
58434
694.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7237
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94057
724.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159786
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22500
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245233
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301132
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5406
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50068
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82788
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4895
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4734
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9212
158.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11261
194.6 IPS |
