MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4142
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | jlmoore7299 |
| Upload Date | May 05 2024 01:37 AM |
| Views | 11 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1618
302.7 IPS |
|
|
Image Classification (F16)
|
100% |
2081
389.5 IPS |
|
|
Image Classification (I8)
|
99% |
2092
391.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1082
18.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1031
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1025
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8237
9.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
16311
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16246
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
1672
124.8 IPS |
|
|
Object Detection (F16)
|
100% |
2259
168.6 IPS |
|
|
Object Detection (I8)
|
97% |
1667
124.4 IPS |
|
|
Face Detection (F32)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (F16)
|
97% |
5047
60.0 IPS |
|
|
Face Detection (I8)
|
97% |
5031
59.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6660
51.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9585
74.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
9624
74.6 IPS |
|
|
Style Transfer (F32)
|
100% |
20989
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
30484
40.1 IPS |
|
|
Style Transfer (I8)
|
100% |
30460
40.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5157
184.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6013
214.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6222
222.2 IPS |
|
|
Text Classification (F32)
|
100% |
2583
3.71 KIPS |
|
|
Text Classification (F16)
|
100% |
4218
6.06 KIPS |
|
|
Text Classification (I8)
|
96% |
4177
6.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1455
26.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1640
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1418
26.1 IPS |
