iPhone 16 Pro
Geekbench AI Score
4435
Single Precision Score
32990
Half Precision Score
46156
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 04:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
15395
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21113
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18327
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24149
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8377
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
152723
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293519
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.1 IPS |
|
|
Object Detection (HP)
|
100% |
16290
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22620
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3545
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
41262
490.3 IPS |
|
|
Face Detection (Q)
|
100% |
58424
694.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7549
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95465
735.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163430
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23107
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
246197
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302058
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5430
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51245
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86542
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4580
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4536
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3649
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9560
164.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11450
197.9 IPS |
