iPhone 15 Pro
Geekbench AI Score
3806
Single Precision Score
26926
Half Precision Score
36696
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | September 12 2025 05:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
11380
2.12 KIPS |
|
|
Image Classification (Q)
|
97% |
15712
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16679
270.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20836
337.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7618
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
107446
125.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
206124
241.6 IPS |
|
|
Object Detection (SP)
|
100% |
1647
130.7 IPS |
|
|
Object Detection (HP)
|
100% |
13834
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17747
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
34364
408.3 IPS |
|
|
Face Detection (Q)
|
100% |
46527
552.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6933
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78243
602.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
124425
972.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19712
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
208610
268.2 IPS |
|
|
Style Transfer (Q)
|
96% |
251457
324.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4716
174.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36023
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62560
2.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5494
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6327
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7391
127.7 IPS |
