iPhone17,5
Geekbench AI Score
4247
Single Precision Score
32808
Half Precision Score
45754
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhonedo |
| Upload Date | March 03 2025 02:55 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1952
363.0 IPS |
|
|
Image Classification (HP)
|
100% |
15193
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20650
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18139
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23679
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8241
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
149716
174.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293517
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2059
163.3 IPS |
|
|
Object Detection (HP)
|
100% |
16202
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22264
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
39999
475.3 IPS |
|
|
Face Detection (Q)
|
100% |
58150
690.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7320
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95111
732.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162007
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22066
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244478
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301630
389.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5192
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49698
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84203
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4926
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4562
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9493
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11528
199.2 IPS |
