MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4628
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 24 2024 07:33 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1575
294.7 IPS |
|
|
Image Classification (F16)
|
100% |
2792
522.4 IPS |
|
|
Image Classification (I8)
|
99% |
2790
522.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1137
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1436
24.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1439
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8653
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
16577
20.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
16580
20.1 IPS |
|
|
Object Detection (F32)
|
100% |
1711
127.7 IPS |
|
|
Object Detection (F16)
|
100% |
2755
205.7 IPS |
|
|
Object Detection (I8)
|
97% |
1718
128.2 IPS |
|
|
Face Detection (F32)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (F16)
|
97% |
6538
77.7 IPS |
|
|
Face Detection (I8)
|
97% |
6566
78.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7203
55.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
13365
103.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
13348
103.5 IPS |
|
|
Style Transfer (F32)
|
100% |
21985
28.9 IPS |
|
|
Style Transfer (F16)
|
100% |
32701
43.0 IPS |
|
|
Style Transfer (I8)
|
100% |
32798
43.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5412
193.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6008
214.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6088
217.4 IPS |
|
|
Text Classification (F32)
|
100% |
2595
3.73 KIPS |
|
|
Text Classification (F16)
|
100% |
4417
6.35 KIPS |
|
|
Text Classification (I8)
|
96% |
4526
6.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
1474
27.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1546
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1471
27.1 IPS |
