iPhone 15 Pro
Geekbench AI Score
3755
Single Precision Score
27055
Half Precision Score
37308
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 12 2025 02:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1632
303.6 IPS |
|
|
Image Classification (HP)
|
100% |
10970
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
15388
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16471
267.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21434
347.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7119
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
101162
118.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
200649
235.2 IPS |
|
|
Object Detection (SP)
|
100% |
1733
137.5 IPS |
|
|
Object Detection (HP)
|
100% |
13960
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17905
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
34077
404.9 IPS |
|
|
Face Detection (Q)
|
100% |
50410
599.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6666
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78030
601.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
125010
977.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19661
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
208268
267.7 IPS |
|
|
Style Transfer (Q)
|
96% |
244402
315.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4490
165.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34333
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58580
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5321
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5324
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3232
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8140
140.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9180
158.6 IPS |
