MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10529
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 03:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5464
1.02 KIPS |
|
|
Image Classification (F16)
|
100% |
7129
1.33 KIPS |
|
|
Image Classification (I8)
|
99% |
7862
1.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2223
37.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2177
36.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2140
35.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
42653
51.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
95862
116.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96971
117.4 IPS |
|
|
Object Detection (F32)
|
100% |
3340
249.3 IPS |
|
|
Object Detection (F16)
|
100% |
4718
352.2 IPS |
|
|
Object Detection (I8)
|
97% |
3927
293.2 IPS |
|
|
Face Detection (F32)
|
100% |
15169
180.4 IPS |
|
|
Face Detection (F16)
|
97% |
12831
152.6 IPS |
|
|
Face Detection (I8)
|
96% |
12821
152.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
26509
205.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
41594
322.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
45383
351.9 IPS |
|
|
Style Transfer (F32)
|
100% |
87928
115.7 IPS |
|
|
Style Transfer (F16)
|
100% |
144536
190.1 IPS |
|
|
Style Transfer (I8)
|
100% |
146275
192.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9590
342.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18806
671.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20532
733.3 IPS |
|
|
Text Classification (F32)
|
100% |
1391
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3786
5.44 KIPS |
|
|
Text Classification (I8)
|
96% |
3946
5.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1101
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3054
56.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1006
18.5 IPS |
