iPhone 15 Pro
Geekbench AI Score
4043
Single Precision Score
25278
Half Precision Score
35840
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 05:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
10812
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
14778
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16695
270.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21613
350.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8405
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
107452
125.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
204973
240.2 IPS |
|
|
Object Detection (SP)
|
100% |
1811
143.6 IPS |
|
|
Object Detection (HP)
|
100% |
13959
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19245
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
34049
404.6 IPS |
|
|
Face Detection (Q)
|
100% |
51972
617.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7199
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78401
604.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
126198
986.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22023
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
208487
268.0 IPS |
|
|
Style Transfer (Q)
|
96% |
257432
332.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5095
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34137
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64368
2.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3308
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6512
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7720
133.4 IPS |
