iPhone 15 Pro Max
Geekbench ML Score
3001
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 22 2023 12:18 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
856
160.1 IPS |
|
|
Image Classification (F16)
|
100% |
1035
193.7 IPS |
|
|
Image Classification (I8)
|
99% |
1212
226.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1348
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1428
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1462
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
14450
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
15438
18.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
15259
18.5 IPS |
|
|
Object Detection (F32)
|
100% |
1528
114.1 IPS |
|
|
Object Detection (F16)
|
100% |
1552
115.9 IPS |
|
|
Object Detection (I8)
|
97% |
1244
92.9 IPS |
|
|
Face Detection (F32)
|
100% |
4437
52.8 IPS |
|
|
Face Detection (F16)
|
97% |
6398
76.1 IPS |
|
|
Face Detection (I8)
|
96% |
7189
85.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10874
84.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13512
104.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
10229
79.3 IPS |
|
|
Style Transfer (F32)
|
100% |
28436
37.4 IPS |
|
|
Style Transfer (F16)
|
100% |
35039
46.1 IPS |
|
|
Style Transfer (I8)
|
100% |
36474
48.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3856
137.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4224
150.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3739
133.5 IPS |
|
|
Text Classification (F32)
|
100% |
419
601.5 IPS |
|
|
Text Classification (F16)
|
100% |
426
612.2 IPS |
|
|
Text Classification (I8)
|
96% |
269
386.8 IPS |
|
|
Machine Translation (F32)
|
100% |
590
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
644
11.8 IPS |
|
|
Machine Translation (I8)
|
99% |
555
10.2 IPS |
