iPhone 16 Pro
Geekbench AI Score
4627
Single Precision Score
33056
Half Precision Score
45992
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | January 22 2025 07:03 PM |
| Views | 10 |
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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
15438
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20553
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18320
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24450
396.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9204
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154305
180.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294476
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2182
173.1 IPS |
|
|
Object Detection (HP)
|
100% |
16353
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22581
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3714
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
41277
490.5 IPS |
|
|
Face Detection (Q)
|
100% |
57967
688.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8024
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95492
735.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161885
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
25018
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246077
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301940
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5749
212.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51113
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85435
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3470
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4457
5.95 KIPS |
|
|
Text Classification (Q)
|
93% |
4570
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3812
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9879
170.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11458
198.0 IPS |
