MacBook Pro (14-inch, 2023)
Geekbench ML Score
8007
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 03:41 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 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% |
4698
879.2 IPS |
|
|
Image Classification (F16)
|
100% |
4721
883.4 IPS |
|
|
Image Classification (I8)
|
99% |
4228
791.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2099
35.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2100
35.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2080
34.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
41000
49.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
43772
53.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
42262
51.2 IPS |
|
|
Object Detection (F32)
|
100% |
3184
237.7 IPS |
|
|
Object Detection (F16)
|
100% |
3290
245.6 IPS |
|
|
Object Detection (I8)
|
97% |
3144
234.7 IPS |
|
|
Face Detection (F32)
|
100% |
14339
170.5 IPS |
|
|
Face Detection (F16)
|
98% |
14982
178.1 IPS |
|
|
Face Detection (I8)
|
97% |
14644
174.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
23927
185.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
25245
195.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
23279
180.5 IPS |
|
|
Style Transfer (F32)
|
100% |
73419
96.6 IPS |
|
|
Style Transfer (F16)
|
100% |
71653
94.3 IPS |
|
|
Style Transfer (I8)
|
100% |
70005
92.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12108
432.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12412
443.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11697
417.7 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3567
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3545
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
983
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
982
18.1 IPS |
|
|
Machine Translation (I8)
|
99% |
805
14.8 IPS |
