iPhone 15 Pro Max
Geekbench ML Score
3604
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 18 2024 08:52 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1601
299.6 IPS |
|
|
Image Classification (F16)
|
100% |
1631
305.3 IPS |
|
|
Image Classification (I8)
|
99% |
1670
312.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1403
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1499
25.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1484
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
14548
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
15750
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15349
18.6 IPS |
|
|
Object Detection (F32)
|
100% |
1682
125.6 IPS |
|
|
Object Detection (F16)
|
100% |
1683
125.6 IPS |
|
|
Object Detection (I8)
|
97% |
1893
141.3 IPS |
|
|
Face Detection (F32)
|
100% |
6306
75.0 IPS |
|
|
Face Detection (F16)
|
98% |
7934
94.3 IPS |
|
|
Face Detection (I8)
|
97% |
8436
100.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
11970
92.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13672
106.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
12581
97.6 IPS |
|
|
Style Transfer (F32)
|
100% |
28677
37.7 IPS |
|
|
Style Transfer (F16)
|
100% |
36166
47.6 IPS |
|
|
Style Transfer (I8)
|
100% |
31552
41.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6732
240.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6658
237.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7346
262.4 IPS |
|
|
Text Classification (F32)
|
100% |
448
643.9 IPS |
|
|
Text Classification (F16)
|
100% |
478
687.1 IPS |
|
|
Text Classification (I8)
|
96% |
298
428.1 IPS |
|
|
Machine Translation (F32)
|
100% |
667
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
754
13.9 IPS |
|
|
Machine Translation (I8)
|
99% |
657
12.1 IPS |
