MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
8182
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 5 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% |
4775
893.5 IPS |
|
|
Image Classification (F16)
|
100% |
5924
1.11 KIPS |
|
|
Image Classification (I8)
|
99% |
6187
1.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1078
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1183
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1188
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
33002
40.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
75223
91.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
75328
91.2 IPS |
|
|
Object Detection (F32)
|
100% |
3286
245.3 IPS |
|
|
Object Detection (F16)
|
100% |
3922
292.8 IPS |
|
|
Object Detection (I8)
|
97% |
3087
230.5 IPS |
|
|
Face Detection (F32)
|
100% |
12720
151.2 IPS |
|
|
Face Detection (F16)
|
97% |
10516
125.0 IPS |
|
|
Face Detection (I8)
|
96% |
10675
126.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
22768
176.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
37043
287.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
38676
299.9 IPS |
|
|
Style Transfer (F32)
|
100% |
71540
94.1 IPS |
|
|
Style Transfer (F16)
|
100% |
130037
171.1 IPS |
|
|
Style Transfer (I8)
|
100% |
130138
171.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7908
282.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18341
655.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18335
654.8 IPS |
|
|
Text Classification (F32)
|
100% |
1156
1.66 KIPS |
|
|
Text Classification (F16)
|
100% |
2831
4.07 KIPS |
|
|
Text Classification (I8)
|
96% |
2965
4.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
604
11.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2418
44.5 IPS |
|
|
Machine Translation (I8)
|
99% |
580
10.7 IPS |
