MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10658
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 09 2024 12:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
5606
1.05 KIPS |
|
|
Image Classification (F16)
|
100% |
7098
1.33 KIPS |
|
|
Image Classification (I8)
|
99% |
7888
1.48 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2095
35.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2076
34.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1916
32.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
43437
52.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
92365
111.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
96758
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
4459
332.9 IPS |
|
|
Object Detection (F16)
|
100% |
5588
417.1 IPS |
|
|
Object Detection (I8)
|
97% |
4147
309.6 IPS |
|
|
Face Detection (F32)
|
100% |
15187
180.6 IPS |
|
|
Face Detection (F16)
|
97% |
12806
152.3 IPS |
|
|
Face Detection (I8)
|
96% |
12744
151.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
27153
210.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
49422
383.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
41916
325.1 IPS |
|
|
Style Transfer (F32)
|
100% |
87973
115.7 IPS |
|
|
Style Transfer (F16)
|
100% |
147099
193.5 IPS |
|
|
Style Transfer (I8)
|
100% |
146996
193.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10311
368.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20840
744.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20844
744.4 IPS |
|
|
Text Classification (F32)
|
100% |
1239
1.78 KIPS |
|
|
Text Classification (F16)
|
100% |
3914
5.62 KIPS |
|
|
Text Classification (I8)
|
96% |
3712
5.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
1041
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3010
55.4 IPS |
|
|
Machine Translation (I8)
|
99% |
965
17.8 IPS |
