iPhone 13 Pro Max
Geekbench ML Score
3274
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 03:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
713
133.5 IPS |
|
|
Image Classification (F16)
|
100% |
1581
295.8 IPS |
|
|
Image Classification (I8)
|
99% |
1316
246.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
454
7.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
1037
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
573
9.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
3854
4.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
10786
13.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13364
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1342
100.2 IPS |
|
|
Object Detection (F16)
|
100% |
2269
169.4 IPS |
|
|
Object Detection (I8)
|
97% |
1338
99.9 IPS |
|
|
Face Detection (F32)
|
100% |
2576
30.6 IPS |
|
|
Face Detection (F16)
|
97% |
5289
62.9 IPS |
|
|
Face Detection (I8)
|
97% |
5262
62.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5175
40.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11135
86.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10846
84.1 IPS |
|
|
Style Transfer (F32)
|
100% |
17136
22.5 IPS |
|
|
Style Transfer (F16)
|
100% |
26464
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26416
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4191
149.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5014
179.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5017
179.2 IPS |
|
|
Text Classification (F32)
|
100% |
2237
3.22 KIPS |
|
|
Text Classification (F16)
|
100% |
3758
5.40 KIPS |
|
|
Text Classification (I8)
|
96% |
3757
5.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
1154
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1360
25.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1123
20.7 IPS |
