iPhone 15 Pro
Geekbench AI Score
3773
Single Precision Score
26325
Half Precision Score
34797
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:38 AM |
| Views | 1 |
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% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
11195
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
13657
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16433
266.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21273
344.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7162
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
105193
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
199847
234.2 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
100% |
13464
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17663
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
34155
405.8 IPS |
|
|
Face Detection (Q)
|
100% |
46322
550.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6803
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
76453
589.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
112200
877.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20521
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
200392
257.6 IPS |
|
|
Style Transfer (Q)
|
96% |
236501
305.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4524
167.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34922
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56787
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5490
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6116
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6561
113.4 IPS |
