iPhone 15 Pro
Geekbench AI Score
3712
Single Precision Score
6802
Half Precision Score
5604
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 02:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1583
294.4 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.3 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3003
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7018
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
15383
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13625
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (HP)
|
97% |
3238
257.7 IPS |
|
|
Object Detection (Q)
|
94% |
2310
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6632
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3745
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6537
50.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12693
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8853
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19850
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32529
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26654
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4313
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5629
207.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4351
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5540
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5575
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3189
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7407
128.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7405
128.0 IPS |
