MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
8137
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 29 2024 02:29 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
4794
897.1 IPS |
|
|
Image Classification (F16)
|
100% |
5084
951.3 IPS |
|
|
Image Classification (I8)
|
99% |
4472
836.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1896
31.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1991
33.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2001
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
32920
39.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
34666
42.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
33532
40.6 IPS |
|
|
Object Detection (F32)
|
100% |
4016
299.8 IPS |
|
|
Object Detection (F16)
|
100% |
4206
314.0 IPS |
|
|
Object Detection (I8)
|
97% |
3751
280.0 IPS |
|
|
Face Detection (F32)
|
100% |
13351
158.7 IPS |
|
|
Face Detection (F16)
|
98% |
15147
180.1 IPS |
|
|
Face Detection (I8)
|
97% |
14423
171.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
21738
168.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
23487
182.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
22058
171.1 IPS |
|
|
Style Transfer (F32)
|
100% |
72807
95.8 IPS |
|
|
Style Transfer (F16)
|
100% |
81092
106.7 IPS |
|
|
Style Transfer (I8)
|
100% |
80876
106.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9647
344.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10284
367.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11636
415.5 IPS |
|
|
Text Classification (F32)
|
100% |
2525
3.63 KIPS |
|
|
Text Classification (F16)
|
100% |
4353
6.26 KIPS |
|
|
Text Classification (I8)
|
96% |
4310
6.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
1065
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1111
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1018
18.7 IPS |
