iPhone 15 Pro Max
Geekbench ML Score
5509
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 07 2024 07:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1587
297.0 IPS |
|
|
Image Classification (F16)
|
100% |
6209
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6804
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1379
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1782
29.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1529
25.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14310
17.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
70269
85.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
58002
70.2 IPS |
|
|
Object Detection (F32)
|
100% |
2335
174.3 IPS |
|
|
Object Detection (F16)
|
100% |
3682
274.9 IPS |
|
|
Object Detection (I8)
|
97% |
1481
110.6 IPS |
|
|
Face Detection (F32)
|
100% |
6403
76.1 IPS |
|
|
Face Detection (F16)
|
97% |
9300
110.6 IPS |
|
|
Face Detection (I8)
|
96% |
8228
97.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12038
93.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
37806
293.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
34260
265.7 IPS |
|
|
Style Transfer (F32)
|
100% |
27299
35.9 IPS |
|
|
Style Transfer (F16)
|
100% |
114712
150.9 IPS |
|
|
Style Transfer (I8)
|
100% |
102186
134.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4572
163.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16610
593.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15634
558.4 IPS |
|
|
Text Classification (F32)
|
100% |
413
593.9 IPS |
|
|
Text Classification (F16)
|
100% |
441
634.1 IPS |
|
|
Text Classification (I8)
|
96% |
410
589.9 IPS |
|
|
Machine Translation (F32)
|
100% |
654
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1133
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
569
10.5 IPS |
