iPhone 15 Pro
Geekbench AI Score
3149
Single Precision Score
22833
Half Precision Score
32051
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 26 2026 02:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1240
230.7 IPS |
|
|
Image Classification (HP)
|
100% |
10440
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
13735
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13149
213.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18939
307.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6215
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
64100
74.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
124179
145.5 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
12255
972.1 IPS |
|
|
Object Detection (Q)
|
89% |
16563
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
2324
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
28862
342.9 IPS |
|
|
Face Detection (Q)
|
100% |
43434
516.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5363
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59638
459.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
105070
821.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16358
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
145991
187.7 IPS |
|
|
Style Transfer (Q)
|
96% |
174524
225.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3634
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31106
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50876
1.88 KIPS |
|
|
Text Classification (SP)
|
99% |
4451
5.94 KIPS |
|
|
Text Classification (HP)
|
100% |
7271
9.70 KIPS |
|
|
Text Classification (Q)
|
93% |
7420
9.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6285
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7113
122.9 IPS |
