MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
6979
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | faridfawzi |
| Upload Date | August 21 2024 02:28 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
5051
945.3 IPS |
|
|
Image Classification (F16)
|
100% |
5188
970.8 IPS |
|
|
Image Classification (I8)
|
99% |
4803
898.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2059
34.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1830
30.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
2226
37.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
32694
39.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
34806
42.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
34316
41.6 IPS |
|
|
Object Detection (F32)
|
100% |
3919
292.6 IPS |
|
|
Object Detection (F16)
|
100% |
4315
322.1 IPS |
|
|
Object Detection (I8)
|
97% |
3839
286.6 IPS |
|
|
Face Detection (F32)
|
100% |
13168
156.6 IPS |
|
|
Face Detection (F16)
|
98% |
15848
188.4 IPS |
|
|
Face Detection (I8)
|
97% |
15274
181.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
21855
169.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
24583
190.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
22477
174.3 IPS |
|
|
Style Transfer (F32)
|
100% |
74146
97.5 IPS |
|
|
Style Transfer (F16)
|
100% |
83919
110.4 IPS |
|
|
Style Transfer (I8)
|
100% |
82317
108.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11612
414.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10225
365.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9543
340.8 IPS |
|
|
Text Classification (F32)
|
100% |
542
779.4 IPS |
|
|
Text Classification (F16)
|
100% |
714
1.03 KIPS |
|
|
Text Classification (I8)
|
96% |
801
1.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
1055
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1074
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
984
18.1 IPS |
