iPhone 14 Pro
Geekbench AI Score
3886
Single Precision Score
4297
Half Precision Score
3759
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1485
276.2 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.7 IPS |
|
|
Image Classification (Q)
|
97% |
1457
271.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2478
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11762
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12365
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11432
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
1938
153.8 IPS |
|
|
Object Detection (Q)
|
91% |
1621
129.5 IPS |
|
|
Face Detection (SP)
|
100% |
5310
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
6179
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3992
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8550
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9130
70.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7220
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21312
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23758
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22080
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4911
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3859
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4600
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4582
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
749
12.9 IPS |
