iPhone 15 Pro
Geekbench AI Score
4954
Single Precision Score
5872
Half Precision Score
5705
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 01:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1895
352.4 IPS |
|
|
Image Classification (HP)
|
100% |
1759
327.0 IPS |
|
|
Image Classification (Q)
|
96% |
1985
370.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3696
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4250
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4052
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13134
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15060
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14582
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (Q)
|
92% |
2633
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
6517
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
8521
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
6969
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10731
82.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12224
94.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11429
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27051
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32768
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33511
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5529
204.2 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5769
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5570
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1439
24.9 IPS |
