iPhone 15 Pro
Geekbench AI Score
3733
Single Precision Score
26948
Half Precision Score
36261
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 02:26 AM |
| Views | 6 |
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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
11390
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
15922
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16447
266.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21343
346.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7050
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
105862
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
205970
241.4 IPS |
|
|
Object Detection (SP)
|
100% |
1660
131.6 IPS |
|
|
Object Detection (HP)
|
100% |
14111
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
17678
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34796
413.4 IPS |
|
|
Face Detection (Q)
|
100% |
47895
569.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6586
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78490
604.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
119638
935.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19881
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
208723
268.3 IPS |
|
|
Style Transfer (Q)
|
96% |
251686
324.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4459
164.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35024
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56090
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5569
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6493
111.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7038
121.6 IPS |
