iPhone 15 Pro
Geekbench AI Score
2837
Single Precision Score
13866
Half Precision Score
9295
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Littens4Life |
| Upload Date | April 02 2026 03:54 AM |
| Views | 3 |
| Notes | Tracker: 199ECAEE |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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% |
1492
277.4 IPS |
|
|
Image Classification (HP)
|
100% |
6129
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
7532
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5262
85.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10727
173.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8081
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
88926
103.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
151544
177.6 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.1 IPS |
|
|
Object Detection (HP)
|
100% |
7922
628.3 IPS |
|
|
Object Detection (Q)
|
93% |
9587
765.0 IPS |
|
|
Face Detection (SP)
|
100% |
2445
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
11172
132.8 IPS |
|
|
Face Detection (Q)
|
100% |
716
8.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
4701
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40566
312.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
60629
474.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13112
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
129984
167.1 IPS |
|
|
Style Transfer (Q)
|
25% |
5790
161.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4030
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18126
669.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23070
851.9 IPS |
|
|
Text Classification (SP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (HP)
|
71% |
4263
6.13 KIPS |
|
|
Text Classification (Q)
|
69% |
2781
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1952
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2542
43.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2545
44.0 IPS |
