iPhone 15 Pro
Geekbench AI Score
3683
Single Precision Score
6804
Half Precision Score
5544
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | rajveerbeerda |
| Upload Date | October 23 2025 11:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.1 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3003
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6922
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
15334
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13336
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1622
128.7 IPS |
|
|
Object Detection (HP)
|
97% |
3251
258.8 IPS |
|
|
Object Detection (Q)
|
94% |
2317
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
6606
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3698
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6549
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12603
97.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8752
68.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19649
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32119
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26257
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4407
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5660
209.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4282
158.1 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5683
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7244
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7204
124.5 IPS |
