MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10282
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | NoobNotFound |
| Upload Date | October 14 2024 09:24 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 2.61 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% |
4995
934.6 IPS |
|
|
Image Classification (F16)
|
100% |
11568
2.16 KIPS |
|
|
Image Classification (I8)
|
99% |
11971
2.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1008
16.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1253
20.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1257
21.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
41290
50.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
85787
103.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
85112
103.1 IPS |
|
|
Object Detection (F32)
|
100% |
3310
247.1 IPS |
|
|
Object Detection (F16)
|
100% |
5003
373.5 IPS |
|
|
Object Detection (I8)
|
97% |
3024
225.8 IPS |
|
|
Face Detection (F32)
|
100% |
12435
147.9 IPS |
|
|
Face Detection (F16)
|
97% |
20104
239.0 IPS |
|
|
Face Detection (I8)
|
96% |
20091
238.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
24881
193.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
49983
387.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
66065
512.3 IPS |
|
|
Style Transfer (F32)
|
100% |
84063
110.6 IPS |
|
|
Style Transfer (F16)
|
100% |
135675
178.5 IPS |
|
|
Style Transfer (I8)
|
100% |
142513
187.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9644
344.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33782
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32362
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
1857
2.67 KIPS |
|
|
Text Classification (F16)
|
100% |
3301
4.74 KIPS |
|
|
Text Classification (I8)
|
96% |
3318
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
728
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2445
45.0 IPS |
|
|
Machine Translation (I8)
|
99% |
544
10.0 IPS |
