iPhone 15 Pro
Geekbench AI Score
4002
Single Precision Score
25216
Half Precision Score
34987
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | klflv |
| Upload Date | November 20 2024 01:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
11053
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
15821
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15830
256.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20944
339.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8135
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
106155
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
205151
240.4 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
13866
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19344
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
34394
408.7 IPS |
|
|
Face Detection (Q)
|
100% |
50928
605.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7167
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
79157
609.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
129911
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
21232
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200843
258.2 IPS |
|
|
Style Transfer (Q)
|
96% |
245589
316.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34119
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58309
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3218
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3035
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3238
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6727
115.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7270
125.6 IPS |
