iPhone 15 Pro
Geekbench AI Score
3993
Single Precision Score
25137
Half Precision Score
34994
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 09:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
11498
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
14963
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15845
256.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20919
339.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8076
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
105775
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
205890
241.3 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
13632
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19084
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3232
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
33934
403.2 IPS |
|
|
Face Detection (Q)
|
100% |
50642
601.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7117
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
77567
597.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127469
996.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21347
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202773
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
252400
325.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34664
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55869
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3335
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6285
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7377
127.5 IPS |
