iPhone 15 Pro
Geekbench AI Score
3913
Single Precision Score
28243
Half Precision Score
39344
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 11:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
10526
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
15308
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16709
270.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21991
356.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6561
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
105532
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
207276
242.9 IPS |
|
|
Object Detection (SP)
|
100% |
1663
131.9 IPS |
|
|
Object Detection (HP)
|
100% |
13885
1.10 KIPS |
|
|
Object Detection (Q)
|
89% |
19122
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3090
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
36068
428.6 IPS |
|
|
Face Detection (Q)
|
100% |
56625
672.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6548
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78199
602.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
129172
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
19744
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
209235
269.0 IPS |
|
|
Style Transfer (Q)
|
96% |
246042
317.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4416
163.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34615
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54968
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
5640
7.53 KIPS |
|
|
Text Classification (HP)
|
99% |
9559
12.8 KIPS |
|
|
Text Classification (Q)
|
93% |
9198
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6417
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7322
126.5 IPS |
