iPhone 15 Pro
Geekbench AI Score
5039
Single Precision Score
5861
Half Precision Score
5508
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | musarikhotso |
| Upload Date | March 24 2025 07:05 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1812
337.0 IPS |
|
|
Image Classification (HP)
|
100% |
1763
327.8 IPS |
|
|
Image Classification (Q)
|
96% |
1887
352.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3660
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4208
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4100
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13124
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13959
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13500
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (HP)
|
100% |
2803
222.3 IPS |
|
|
Object Detection (Q)
|
92% |
2436
194.5 IPS |
|
|
Face Detection (SP)
|
100% |
5966
70.9 IPS |
|
|
Face Detection (HP)
|
100% |
8836
105.0 IPS |
|
|
Face Detection (Q)
|
100% |
6750
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11227
86.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12167
93.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11018
86.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27370
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31285
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30976
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5904
218.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5467
201.9 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5526
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5428
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1425
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1502
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1480
25.6 IPS |
