iPhone 15 Pro
Geekbench AI Score
3921
Single Precision Score
24857
Half Precision Score
34864
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | lumisade |
| Upload Date | November 02 2024 09:03 AM |
| Views | 18 |
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% |
1715
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
10765
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15154
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15759
255.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20914
339.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7642
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
105452
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
203524
238.5 IPS |
|
|
Object Detection (SP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (HP)
|
100% |
13872
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19093
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
35482
421.6 IPS |
|
|
Face Detection (Q)
|
100% |
51098
607.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7011
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78532
605.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
129514
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20435
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205936
264.7 IPS |
|
|
Style Transfer (Q)
|
96% |
248644
320.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4801
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33977
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58015
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3059
4.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6257
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7378
127.5 IPS |
