iPhone 16 Pro
Geekbench AI Score
4665
Single Precision Score
33244
Half Precision Score
46197
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | January 22 2025 07:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
15593
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20294
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18330
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24032
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9316
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
155009
180.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
294606
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
16438
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22556
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3728
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
41253
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
57305
680.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8080
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95267
734.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160632
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24961
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245374
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301598
389.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5925
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50540
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85657
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4574
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5034
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3830
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10156
174.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11413
197.2 IPS |
