iPhone 16 Pro
Geekbench AI Score
4569
Single Precision Score
32792
Half Precision Score
45471
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | March 13 2025 01:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2044
380.0 IPS |
|
|
Image Classification (HP)
|
100% |
15342
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20386
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18336
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24107
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8705
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153527
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293559
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2194
174.0 IPS |
|
|
Object Detection (HP)
|
100% |
16231
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22486
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
41355
491.4 IPS |
|
|
Face Detection (Q)
|
100% |
57726
685.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7861
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95237
733.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160510
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23662
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244461
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297075
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5772
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49811
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86472
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4407
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4270
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3874
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9705
167.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11462
198.1 IPS |
