MacBook Pro (14-inch, 2023)
Geekbench ML Score
4507
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Bishop_Swift |
| Upload Date | August 16 2024 08:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1374
257.2 IPS |
|
|
Image Classification (F16)
|
100% |
2235
418.3 IPS |
|
|
Image Classification (I8)
|
99% |
2230
417.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1041
17.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1337
22.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1313
21.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
12610
15.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
23425
28.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
24109
29.2 IPS |
|
|
Object Detection (F32)
|
100% |
1504
112.3 IPS |
|
|
Object Detection (F16)
|
100% |
2351
175.5 IPS |
|
|
Object Detection (I8)
|
97% |
1561
116.5 IPS |
|
|
Face Detection (F32)
|
100% |
3479
41.4 IPS |
|
|
Face Detection (F16)
|
97% |
5804
69.0 IPS |
|
|
Face Detection (I8)
|
97% |
5682
67.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6234
48.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11190
86.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
11937
92.6 IPS |
|
|
Style Transfer (F32)
|
100% |
24225
31.9 IPS |
|
|
Style Transfer (F16)
|
100% |
37904
49.9 IPS |
|
|
Style Transfer (I8)
|
100% |
36948
48.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5270
188.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7112
254.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7120
254.3 IPS |
|
|
Text Classification (F32)
|
100% |
2063
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3532
5.08 KIPS |
|
|
Text Classification (I8)
|
96% |
3595
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1493
27.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1717
31.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1449
26.7 IPS |
