iPhone 15 Pro
Geekbench AI Score
3995
Single Precision Score
24177
Half Precision Score
34082
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 05:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1700
316.1 IPS |
|
|
Image Classification (HP)
|
100% |
10608
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
15832
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16389
265.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21627
350.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8143
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
108434
126.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
206250
241.7 IPS |
|
|
Object Detection (SP)
|
100% |
1797
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
13861
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19287
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
33932
403.2 IPS |
|
|
Face Detection (Q)
|
100% |
52651
625.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7054
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77561
597.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
126532
989.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21708
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
207599
266.9 IPS |
|
|
Style Transfer (Q)
|
96% |
254997
329.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34074
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57514
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2140
2.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2092
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3244
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6555
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7597
131.3 IPS |
