iPhone 15 Pro
Geekbench AI Score
3668
Single Precision Score
25284
Half Precision Score
35671
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 05:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1613
300.0 IPS |
|
|
Image Classification (HP)
|
100% |
11170
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
15693
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16398
265.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21325
345.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6936
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
101084
117.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
200033
234.5 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
14086
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
19100
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
36828
437.6 IPS |
|
|
Face Detection (Q)
|
100% |
52719
626.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6306
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
77153
594.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
128321
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
17542
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
198871
255.7 IPS |
|
|
Style Transfer (Q)
|
96% |
253953
327.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4365
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33233
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56069
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3319
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3405
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3135
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6569
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7955
137.5 IPS |
