iPhone 15 Pro
Geekbench AI Score
3244
Single Precision Score
3928
Half Precision Score
3597
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
808
150.2 IPS |
|
|
Image Classification (HP)
|
100% |
1012
188.1 IPS |
|
|
Image Classification (Q)
|
96% |
774
144.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3010
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3931
63.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3093
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7171
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
8727
10.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
8294
9.72 IPS |
|
|
Object Detection (SP)
|
100% |
1220
96.8 IPS |
|
|
Object Detection (HP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (Q)
|
92% |
1373
109.6 IPS |
|
|
Face Detection (SP)
|
100% |
5563
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
5005
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
5029
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7211
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8203
63.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
7535
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15652
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24989
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24341
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3325
122.8 IPS |
|
|
Text Classification (SP)
|
100% |
1971
2.63 KIPS |
|
|
Text Classification (HP)
|
99% |
3277
4.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3247
4.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1337
23.1 IPS |
