iPhone 15 Pro
Geekbench AI Score
3945
Single Precision Score
25401
Half Precision Score
33611
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 12:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1678
312.1 IPS |
|
|
Image Classification (HP)
|
100% |
10144
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
13116
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16739
271.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21079
341.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7850
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
104337
121.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
195480
229.1 IPS |
|
|
Object Detection (SP)
|
100% |
1769
140.3 IPS |
|
|
Object Detection (HP)
|
100% |
11856
940.5 IPS |
|
|
Object Detection (Q)
|
91% |
17269
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
34684
412.1 IPS |
|
|
Face Detection (Q)
|
100% |
50573
600.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6884
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
67900
523.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
72131
564.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21459
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
205391
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
230664
297.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4863
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25256
932.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
45846
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5366
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5294
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8121
139.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9654
166.8 IPS |
