MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
2356
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mrdbourke |
| Upload Date | December 14 2023 01:16 AM |
| Views | 18 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1.2 (Build 23B2091) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1347
252.1 IPS |
|
|
Image Classification (F16)
|
100% |
1192
223.1 IPS |
|
|
Image Classification (I8)
|
99% |
1189
222.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
663
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
603
10.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
585
9.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
7986
9.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
13444
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13372
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1375
102.6 IPS |
|
|
Object Detection (F16)
|
100% |
1451
108.4 IPS |
|
|
Object Detection (I8)
|
97% |
1437
107.3 IPS |
|
|
Face Detection (F32)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (F16)
|
100% |
1988
23.6 IPS |
|
|
Face Detection (I8)
|
99% |
2110
25.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4557
35.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
4748
36.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
4793
37.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13020
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
14861
19.5 IPS |
|
|
Style Transfer (I8)
|
100% |
15163
19.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4047
144.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3165
113.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3241
115.8 IPS |
|
|
Text Classification (F32)
|
100% |
766
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
760
1.09 KIPS |
|
|
Text Classification (I8)
|
96% |
713
1.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1182
21.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1212
22.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1097
20.2 IPS |
