MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
7226
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 26 2024 04:55 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4995
934.7 IPS |
|
|
Image Classification (F16)
|
100% |
5377
1.01 KIPS |
|
|
Image Classification (I8)
|
99% |
4653
870.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2126
35.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2145
35.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2184
36.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
33245
40.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
35166
42.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
34372
41.6 IPS |
|
|
Object Detection (F32)
|
100% |
4089
305.3 IPS |
|
|
Object Detection (F16)
|
100% |
4264
318.4 IPS |
|
|
Object Detection (I8)
|
97% |
3816
284.9 IPS |
|
|
Face Detection (F32)
|
100% |
14089
167.5 IPS |
|
|
Face Detection (F16)
|
98% |
16861
200.5 IPS |
|
|
Face Detection (I8)
|
97% |
16367
194.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
22334
173.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
24167
187.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
22261
172.6 IPS |
|
|
Style Transfer (F32)
|
100% |
73469
96.6 IPS |
|
|
Style Transfer (F16)
|
100% |
83262
109.5 IPS |
|
|
Style Transfer (I8)
|
100% |
82026
107.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10063
359.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10563
377.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11928
426.0 IPS |
|
|
Text Classification (F32)
|
100% |
827
1.19 KIPS |
|
|
Text Classification (F16)
|
100% |
781
1.12 KIPS |
|
|
Text Classification (I8)
|
96% |
787
1.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1101
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
977
18.0 IPS |
