iPhone 15 Pro
Geekbench AI Score
2862
Single Precision Score
14007
Half Precision Score
9528
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 14 2025 12:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1443
268.3 IPS |
|
|
Image Classification (HP)
|
100% |
6233
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
7582
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5264
85.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9778
158.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8104
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
88307
103.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
141270
165.6 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
100% |
8145
646.0 IPS |
|
|
Object Detection (Q)
|
93% |
9763
779.0 IPS |
|
|
Face Detection (SP)
|
100% |
2453
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
11206
133.1 IPS |
|
|
Face Detection (Q)
|
100% |
740
8.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
4832
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42431
326.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
58031
453.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12994
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
128207
164.8 IPS |
|
|
Style Transfer (Q)
|
25% |
5816
162.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4182
154.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18392
679.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21934
809.9 IPS |
|
|
Text Classification (SP)
|
100% |
1828
2.44 KIPS |
|
|
Text Classification (HP)
|
71% |
4181
6.01 KIPS |
|
|
Text Classification (Q)
|
69% |
4189
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2629
45.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2630
45.5 IPS |
