iPhone15,3
Geekbench ML Score
1163
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 28 2023 08:42 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.1 |
| Model | iPhone15,3 |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
917
98.2 IPS |
|
|
Image Classification (F16)
|
100% |
896
96.0 IPS |
|
|
Image Classification (I8)
|
81% |
463
49.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1293
7.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
1271
7.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
1475
9.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
482
1.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
479
1.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
548
2.22 IPS |
|
|
Object Detection (F32)
|
100% |
1291
45.3 IPS |
|
|
Object Detection (F16)
|
100% |
1310
46.0 IPS |
|
|
Object Detection (I8)
|
52% |
775
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
1617
18.6 IPS |
|
|
Face Detection (F16)
|
100% |
1600
18.4 IPS |
|
|
Face Detection (I8)
|
75% |
861
9.89 IPS |
|
|
Text Classification (F32)
|
100% |
3154
1.25 KIPS |
|
|
Text Classification (F16)
|
100% |
2978
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
2367
364.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2355
362.9 IPS |
