iPhone 15 Pro
Geekbench AI Score
2793
Single Precision Score
25111
Half Precision Score
32210
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1333
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
11913
2.22 KIPS |
|
|
Image Classification (Q)
|
97% |
15526
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16004
259.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20645
334.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5513
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
90430
105.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
155575
182.3 IPS |
|
|
Object Detection (SP)
|
100% |
1221
96.8 IPS |
|
|
Object Detection (HP)
|
100% |
13434
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
16042
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
1842
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
27595
327.9 IPS |
|
|
Face Detection (Q)
|
100% |
41605
494.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4589
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
70480
543.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
104995
820.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16929
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164137
211.0 IPS |
|
|
Style Transfer (Q)
|
96% |
178157
229.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3375
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31870
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50388
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5587
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5758
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1940
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7573
130.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6656
115.0 IPS |
