iPhone 15 Pro
Geekbench AI Score
3953
Single Precision Score
25167
Half Precision Score
33547
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 07 2025 08:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1657
308.2 IPS |
|
|
Image Classification (HP)
|
100% |
10820
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15301
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16407
266.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21312
345.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7915
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
106897
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
205698
241.1 IPS |
|
|
Object Detection (SP)
|
100% |
1777
141.0 IPS |
|
|
Object Detection (HP)
|
100% |
13812
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19273
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
35789
425.2 IPS |
|
|
Face Detection (Q)
|
100% |
52590
624.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7062
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78452
604.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
129969
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
21546
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203735
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
246381
317.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34418
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54048
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2039
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6805
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7526
130.1 IPS |
