MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10302
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | pofrug |
| Upload Date | April 22 2024 09:23 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| 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% |
5802
1.09 KIPS |
|
|
Image Classification (F16)
|
100% |
7539
1.41 KIPS |
|
|
Image Classification (I8)
|
99% |
7824
1.46 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2073
34.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2202
36.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2130
35.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
43377
52.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
92541
112.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
93359
113.1 IPS |
|
|
Object Detection (F32)
|
100% |
4288
320.1 IPS |
|
|
Object Detection (F16)
|
100% |
4827
360.4 IPS |
|
|
Object Detection (I8)
|
97% |
4039
301.5 IPS |
|
|
Face Detection (F32)
|
100% |
14021
166.7 IPS |
|
|
Face Detection (F16)
|
97% |
12763
151.8 IPS |
|
|
Face Detection (I8)
|
96% |
12771
151.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
21922
170.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
47897
371.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
52911
410.3 IPS |
|
|
Style Transfer (F32)
|
100% |
83858
110.3 IPS |
|
|
Style Transfer (F16)
|
100% |
140972
185.4 IPS |
|
|
Style Transfer (I8)
|
100% |
147848
194.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9508
339.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18826
672.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19141
683.6 IPS |
|
|
Text Classification (F32)
|
100% |
1247
1.79 KIPS |
|
|
Text Classification (F16)
|
100% |
4103
5.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3723
5.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
753
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3107
57.2 IPS |
|
|
Machine Translation (I8)
|
99% |
692
12.7 IPS |
