iPhone 15 Pro
Geekbench AI Score
3717
Single Precision Score
6811
Half Precision Score
5588
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1578
293.5 IPS |
|
|
Image Classification (HP)
|
100% |
2935
545.8 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2983
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7056
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
15595
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13610
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1627
129.1 IPS |
|
|
Object Detection (HP)
|
97% |
3253
259.0 IPS |
|
|
Object Detection (Q)
|
94% |
2298
183.1 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6593
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3741
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6525
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12677
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8801
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20117
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32125
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26668
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4407
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5606
207.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4377
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5556
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5621
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7459
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7275
125.7 IPS |
