iPhone 15 Pro
Geekbench AI Score
3751
Single Precision Score
26941
Half Precision Score
35903
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:34 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
10928
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15514
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16554
268.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21310
345.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7044
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
104922
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
206493
242.0 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
100% |
14109
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
18033
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
35232
418.6 IPS |
|
|
Face Detection (Q)
|
100% |
46735
555.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6698
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78621
605.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
124120
970.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19995
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
209630
269.5 IPS |
|
|
Style Transfer (Q)
|
96% |
247130
318.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4506
166.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34927
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54374
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5580
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5381
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3172
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6647
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6894
119.1 IPS |
