MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
2355
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mrdbourke |
| Upload Date | December 14 2023 01:36 AM |
| Views | 25 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| 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 | 4.05 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1329
248.7 IPS |
|
|
Image Classification (F16)
|
100% |
1255
234.8 IPS |
|
|
Image Classification (I8)
|
99% |
1258
235.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
687
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
630
10.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
626
10.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8295
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
13204
16.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13217
16.0 IPS |
|
|
Object Detection (F32)
|
100% |
1338
99.9 IPS |
|
|
Object Detection (F16)
|
100% |
1373
102.5 IPS |
|
|
Object Detection (I8)
|
97% |
1398
104.4 IPS |
|
|
Face Detection (F32)
|
100% |
2403
28.6 IPS |
|
|
Face Detection (F16)
|
100% |
2216
26.4 IPS |
|
|
Face Detection (I8)
|
99% |
2171
25.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4654
36.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
4856
37.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
4616
35.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12316
16.2 IPS |
|
|
Style Transfer (F16)
|
100% |
14741
19.4 IPS |
|
|
Style Transfer (I8)
|
100% |
14688
19.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4007
143.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2924
104.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3390
121.1 IPS |
|
|
Text Classification (F32)
|
100% |
766
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
743
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
575
825.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1162
21.4 IPS |
|
|
Machine Translation (F16)
|
99% |
1223
22.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1164
21.4 IPS |
