iPhone 15 Pro
Geekbench AI Score
3936
Single Precision Score
25258
Half Precision Score
35721
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
10957
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
15124
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15887
257.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21177
343.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7690
8.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
105386
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
205148
240.4 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
13886
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19191
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
34940
415.2 IPS |
|
|
Face Detection (Q)
|
100% |
51183
608.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7035
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78878
607.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
130515
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
20701
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
201988
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
249115
321.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4890
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34758
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62857
2.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (Q)
|
93% |
3396
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6256
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7552
130.5 IPS |
