iPhone 15 Pro
Geekbench AI Score
3879
Single Precision Score
25932
Half Precision Score
36126
Quantized Score
Geekbench AI 1.5.0 Corporate for iOS AArch64
Result Information
| Upload Date | September 02 2025 08:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1656
307.9 IPS |
|
|
Image Classification (HP)
|
100% |
11953
2.22 KIPS |
|
|
Image Classification (Q)
|
97% |
15491
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16328
264.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21191
343.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7657
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
107085
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
205983
241.4 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.9 IPS |
|
|
Object Detection (HP)
|
100% |
13768
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19552
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
36391
432.4 IPS |
|
|
Face Detection (Q)
|
100% |
53356
634.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6935
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78503
604.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
125982
985.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20754
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204902
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
257505
332.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35182
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60474
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3398
4.54 KIPS |
|
|
Text Classification (Q)
|
93% |
3586
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6830
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7630
131.8 IPS |
