iPhone 15 Pro
Geekbench AI Score
5057
Single Precision Score
5860
Half Precision Score
5434
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 12 2025 02:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
1873
348.3 IPS |
|
|
Image Classification (Q)
|
96% |
1621
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3764
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4195
68.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4101
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13087
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15007
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14461
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
2882
228.6 IPS |
|
|
Object Detection (Q)
|
92% |
2394
191.1 IPS |
|
|
Face Detection (SP)
|
100% |
6437
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
8575
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
7053
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11143
85.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12166
93.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11290
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27498
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32067
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31956
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5435
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5235
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5186
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1303
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1362
23.5 IPS |
