iPhone 15 Pro
Geekbench AI Score
3796
Single Precision Score
26718
Half Precision Score
36264
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1581
294.0 IPS |
|
|
Image Classification (HP)
|
100% |
10519
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
14539
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16637
269.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21299
345.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7308
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
107669
125.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
203614
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
100% |
13913
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18367
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
34617
411.3 IPS |
|
|
Face Detection (Q)
|
100% |
50894
604.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6789
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78805
607.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
119708
935.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20980
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204052
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
247730
319.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34842
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57577
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5637
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5563
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3186
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6469
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7026
121.4 IPS |
