MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10863
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | StevenZZH |
| Upload Date | August 01 2024 08:24 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5298h) |
| 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% |
5139
961.7 IPS |
|
|
Image Classification (F16)
|
100% |
7622
1.43 KIPS |
|
|
Image Classification (I8)
|
99% |
8858
1.66 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2121
35.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2111
35.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2154
36.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
42111
51.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
98238
119.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
96798
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
3180
237.4 IPS |
|
|
Object Detection (F16)
|
100% |
4680
349.4 IPS |
|
|
Object Detection (I8)
|
97% |
3736
278.9 IPS |
|
|
Face Detection (F32)
|
100% |
14131
168.0 IPS |
|
|
Face Detection (F16)
|
97% |
14482
172.2 IPS |
|
|
Face Detection (I8)
|
96% |
14672
174.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
25521
197.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
37579
291.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
40310
312.6 IPS |
|
|
Style Transfer (F32)
|
100% |
86868
114.3 IPS |
|
|
Style Transfer (F16)
|
100% |
138494
182.2 IPS |
|
|
Style Transfer (I8)
|
100% |
139070
182.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11613
414.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21370
763.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20980
749.3 IPS |
|
|
Text Classification (F32)
|
100% |
2527
3.63 KIPS |
|
|
Text Classification (F16)
|
100% |
4316
6.20 KIPS |
|
|
Text Classification (I8)
|
96% |
4318
6.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
1125
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2794
51.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1077
19.8 IPS |
