iPhone17,5
Geekbench AI Score
4064
Single Precision Score
4410
Half Precision Score
4331
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | June 20 2025 08:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
772
143.5 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.2 IPS |
|
|
Image Classification (Q)
|
96% |
908
169.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3118
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3342
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3204
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11043
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11319
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11245
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2063
163.7 IPS |
|
|
Object Detection (HP)
|
100% |
1883
149.3 IPS |
|
|
Object Detection (Q)
|
92% |
1801
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
6289
74.7 IPS |
|
|
Face Detection (HP)
|
100% |
7343
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
5983
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10081
77.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10104
77.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9781
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24463
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25731
33.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25622
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4642
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4291
158.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4199
155.0 IPS |
|
|
Text Classification (SP)
|
100% |
3347
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5909
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5885
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1064
18.4 IPS |
