iPhone 15 Pro
Geekbench AI Score
4006
Single Precision Score
26854
Half Precision Score
35909
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2025 01:34 AM |
| Views | 13 |
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% |
1675
311.4 IPS |
|
|
Image Classification (HP)
|
100% |
11207
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
14815
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16295
264.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21196
343.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8342
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
106629
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
204610
239.8 IPS |
|
|
Object Detection (SP)
|
100% |
1771
140.5 IPS |
|
|
Object Detection (HP)
|
100% |
13738
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
17137
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
34836
413.9 IPS |
|
|
Face Detection (Q)
|
100% |
47209
560.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7122
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78458
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
123371
964.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22200
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
206179
265.0 IPS |
|
|
Style Transfer (Q)
|
96% |
244624
315.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4949
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35345
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58087
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3220
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6659
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6956
120.2 IPS |
