MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10147
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 07 2024 06:25 PM |
| Views | 18 |
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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5465
1.02 KIPS |
|
|
Image Classification (F16)
|
100% |
7053
1.32 KIPS |
|
|
Image Classification (I8)
|
99% |
7952
1.49 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1957
32.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2064
34.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2044
34.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
43018
52.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
91807
111.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
96002
116.3 IPS |
|
|
Object Detection (F32)
|
100% |
4344
324.3 IPS |
|
|
Object Detection (F16)
|
100% |
5193
387.7 IPS |
|
|
Object Detection (I8)
|
97% |
4086
305.1 IPS |
|
|
Face Detection (F32)
|
100% |
14472
172.1 IPS |
|
|
Face Detection (F16)
|
97% |
12833
152.6 IPS |
|
|
Face Detection (I8)
|
96% |
12836
152.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
26634
206.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
32298
250.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
44029
341.4 IPS |
|
|
Style Transfer (F32)
|
100% |
87722
115.4 IPS |
|
|
Style Transfer (F16)
|
100% |
147329
193.8 IPS |
|
|
Style Transfer (I8)
|
100% |
139780
183.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11412
407.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18614
664.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20597
735.6 IPS |
|
|
Text Classification (F32)
|
100% |
520
747.0 IPS |
|
|
Text Classification (F16)
|
100% |
3821
5.49 KIPS |
|
|
Text Classification (I8)
|
96% |
3842
5.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
1048
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3045
56.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1009
18.6 IPS |
