iPhone 15 Pro
Geekbench AI Score
3854
Single Precision Score
26973
Half Precision Score
36052
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 11 2025 03:05 AM |
| Views | 7 |
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% |
1594
296.5 IPS |
|
|
Image Classification (HP)
|
100% |
11163
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
14431
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16652
269.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21507
348.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7553
8.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
106925
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
206152
241.6 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
100% |
14019
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17855
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3160
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
34486
409.8 IPS |
|
|
Face Detection (Q)
|
100% |
46043
547.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6956
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78703
606.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
121285
948.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21181
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205714
264.4 IPS |
|
|
Style Transfer (Q)
|
96% |
247334
319.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4661
172.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36625
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56960
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5571
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3211
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6423
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7452
128.8 IPS |
