iPhone 13 Pro Max
Geekbench ML Score
2676
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 02:11 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1257
235.2 IPS |
|
|
Image Classification (F16)
|
100% |
1184
221.6 IPS |
|
|
Image Classification (I8)
|
99% |
1470
275.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1172
19.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1224
20.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1219
20.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
10637
12.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
12033
14.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
11844
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1312
98.0 IPS |
|
|
Object Detection (F16)
|
100% |
1333
99.5 IPS |
|
|
Object Detection (I8)
|
97% |
1397
104.3 IPS |
|
|
Face Detection (F32)
|
100% |
4348
51.7 IPS |
|
|
Face Detection (F16)
|
98% |
5491
65.3 IPS |
|
|
Face Detection (I8)
|
97% |
5326
63.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8745
67.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9279
72.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
8576
66.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18576
24.4 IPS |
|
|
Style Transfer (F16)
|
100% |
22485
29.6 IPS |
|
|
Style Transfer (I8)
|
100% |
23226
30.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4731
169.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4009
143.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4124
147.3 IPS |
|
|
Text Classification (F32)
|
100% |
376
540.7 IPS |
|
|
Text Classification (F16)
|
100% |
366
526.4 IPS |
|
|
Text Classification (I8)
|
96% |
243
349.7 IPS |
|
|
Machine Translation (F32)
|
100% |
577
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
637
11.7 IPS |
|
|
Machine Translation (I8)
|
99% |
573
10.5 IPS |
