iPhone 15 Pro Max
Geekbench ML Score
576
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 22 2023 12:10 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
385
72.0 IPS |
|
|
Image Classification (F16)
|
100% |
368
68.9 IPS |
|
|
Image Classification (I8)
|
99% |
376
70.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
121
2.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
118
1.98 IPS |
|
|
Image Segmentation (I8)
|
100% |
119
1.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
1131
1.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
2193
2.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
2238
2.71 IPS |
|
|
Object Detection (F32)
|
100% |
380
28.3 IPS |
|
|
Object Detection (F16)
|
100% |
421
31.4 IPS |
|
|
Object Detection (I8)
|
97% |
380
28.4 IPS |
|
|
Face Detection (F32)
|
100% |
629
7.48 IPS |
|
|
Face Detection (F16)
|
100% |
569
6.76 IPS |
|
|
Face Detection (I8)
|
99% |
570
6.78 IPS |
|
|
Depth Estimation (F32)
|
100% |
1125
8.72 IPS |
|
|
Depth Estimation (F16)
|
99% |
1349
10.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
1386
10.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2362
3.11 IPS |
|
|
Style Transfer (F16)
|
100% |
3130
4.12 IPS |
|
|
Style Transfer (I8)
|
100% |
3189
4.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
833
29.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
798
28.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
900
32.1 IPS |
|
|
Text Classification (F32)
|
100% |
439
631.0 IPS |
|
|
Text Classification (F16)
|
100% |
275
395.5 IPS |
|
|
Text Classification (I8)
|
96% |
331
476.0 IPS |
|
|
Machine Translation (F32)
|
100% |
191
3.51 IPS |
|
|
Machine Translation (F16)
|
99% |
255
4.69 IPS |
|
|
Machine Translation (I8)
|
99% |
189
3.48 IPS |
