MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10513
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 05:46 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5434
1.02 KIPS |
|
|
Image Classification (F16)
|
100% |
6963
1.30 KIPS |
|
|
Image Classification (I8)
|
99% |
7795
1.46 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1966
32.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2088
34.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2140
35.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
43171
52.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
95564
115.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
97193
117.7 IPS |
|
|
Object Detection (F32)
|
100% |
4433
330.9 IPS |
|
|
Object Detection (F16)
|
100% |
4582
342.1 IPS |
|
|
Object Detection (I8)
|
97% |
4084
304.9 IPS |
|
|
Face Detection (F32)
|
100% |
14773
175.7 IPS |
|
|
Face Detection (F16)
|
97% |
12662
150.6 IPS |
|
|
Face Detection (I8)
|
96% |
12588
149.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
27202
211.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
40620
315.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
42221
327.4 IPS |
|
|
Style Transfer (F32)
|
100% |
88881
116.9 IPS |
|
|
Style Transfer (F16)
|
100% |
136968
180.2 IPS |
|
|
Style Transfer (I8)
|
100% |
146712
193.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11107
396.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19739
704.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20364
727.3 IPS |
|
|
Text Classification (F32)
|
100% |
1071
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
3989
5.73 KIPS |
|
|
Text Classification (I8)
|
96% |
4004
5.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
1117
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3060
56.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1018
18.7 IPS |
