iPhone 15 Pro
Geekbench AI Score
3907
Single Precision Score
25482
Half Precision Score
35765
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 11:43 AM |
| 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% |
1704
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
10671
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15936
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16748
271.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21260
344.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7606
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
105442
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
206306
241.8 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
13845
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19149
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
34243
406.9 IPS |
|
|
Face Detection (Q)
|
100% |
52834
627.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6816
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78556
605.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
128284
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20841
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
208343
267.8 IPS |
|
|
Style Transfer (Q)
|
96% |
247618
319.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4792
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34127
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59269
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3404
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3237
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6885
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7558
130.6 IPS |
