iPhone17,1
Geekbench ML Score
3347
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 12 2025 04:45 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3649
391.0 IPS |
|
|
Image Classification (F16)
|
100% |
7236
775.4 IPS |
|
|
Image Classification (I8)
|
81% |
925
99.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
7046
43.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
12493
77.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1622
10.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2512
10.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
6686
27.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
281
1.14 IPS |
|
|
Object Detection (F32)
|
100% |
4528
158.9 IPS |
|
|
Object Detection (F16)
|
100% |
4490
157.6 IPS |
|
|
Object Detection (I8)
|
52% |
1271
44.6 IPS |
|
|
Face Detection (F32)
|
100% |
7048
81.0 IPS |
|
|
Face Detection (F16)
|
97% |
14384
165.3 IPS |
|
|
Face Detection (I8)
|
75% |
1281
14.7 IPS |
|
|
Text Classification (F32)
|
100% |
3423
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
2837
1.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
4166
642.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4171
642.8 IPS |
