iPhone 15 Pro
Geekbench AI Score
3834
Single Precision Score
27142
Half Precision Score
36817
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:57 PM |
| Views | 5 |
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% |
1669
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
11493
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
15363
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16710
270.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21201
343.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7254
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
103597
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
203547
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.1 IPS |
|
|
Object Detection (HP)
|
100% |
13471
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17727
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
34325
407.9 IPS |
|
|
Face Detection (Q)
|
100% |
46940
557.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6776
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
77383
596.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
124152
970.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20228
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
206819
265.9 IPS |
|
|
Style Transfer (Q)
|
96% |
245887
317.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4594
169.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34109
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54086
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5322
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8120
139.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9359
161.7 IPS |
