MacBook Pro (14-inch, 2023)
Geekbench ML Score
6366
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 06:12 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4696
878.7 IPS |
|
|
Image Classification (F16)
|
100% |
4680
875.7 IPS |
|
|
Image Classification (I8)
|
99% |
4114
769.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2002
33.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2000
33.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1976
33.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
33940
41.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
36392
44.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
35800
43.4 IPS |
|
|
Object Detection (F32)
|
100% |
3142
234.6 IPS |
|
|
Object Detection (F16)
|
100% |
3312
247.3 IPS |
|
|
Object Detection (I8)
|
97% |
3089
230.6 IPS |
|
|
Face Detection (F32)
|
100% |
13726
163.2 IPS |
|
|
Face Detection (F16)
|
98% |
14378
171.0 IPS |
|
|
Face Detection (I8)
|
97% |
13532
160.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
22668
175.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
23735
184.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
22229
172.4 IPS |
|
|
Style Transfer (F32)
|
100% |
65045
85.6 IPS |
|
|
Style Transfer (F16)
|
100% |
70285
92.5 IPS |
|
|
Style Transfer (I8)
|
100% |
70577
92.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11621
415.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9706
346.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9321
332.9 IPS |
|
|
Text Classification (F32)
|
100% |
561
806.1 IPS |
|
|
Text Classification (F16)
|
100% |
546
785.3 IPS |
|
|
Text Classification (I8)
|
96% |
545
782.7 IPS |
|
|
Machine Translation (F32)
|
100% |
934
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
926
17.0 IPS |
|
|
Machine Translation (I8)
|
99% |
824
15.2 IPS |
