iPhone17,5
Geekbench AI Score
4119
Single Precision Score
4446
Half Precision Score
4266
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 01:41 PM |
| Views | 1 |
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% |
914
170.0 IPS |
|
|
Image Classification (HP)
|
100% |
842
156.5 IPS |
|
|
Image Classification (Q)
|
96% |
840
156.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3018
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3323
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3226
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11034
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11300
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11267
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2087
165.5 IPS |
|
|
Object Detection (HP)
|
100% |
1869
148.3 IPS |
|
|
Object Detection (Q)
|
92% |
1727
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
6631
78.8 IPS |
|
|
Face Detection (HP)
|
100% |
7866
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
6306
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10561
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10746
82.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9842
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24302
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25668
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25572
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4141
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3829
141.4 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5964
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1054
18.2 IPS |
