MacBook Pro (14-inch, 2023)
Geekbench ML Score
4525
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 03:43 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 | 3.47 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% |
1367
255.7 IPS |
|
|
Image Classification (F16)
|
100% |
2229
417.0 IPS |
|
|
Image Classification (I8)
|
99% |
2227
416.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1048
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1352
22.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1342
22.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
12581
15.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
23577
28.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
23594
28.6 IPS |
|
|
Object Detection (F32)
|
100% |
1556
116.2 IPS |
|
|
Object Detection (F16)
|
100% |
2368
176.8 IPS |
|
|
Object Detection (I8)
|
97% |
1548
115.5 IPS |
|
|
Face Detection (F32)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (F16)
|
97% |
5635
67.0 IPS |
|
|
Face Detection (I8)
|
97% |
5842
69.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6336
49.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
12121
94.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
12043
93.4 IPS |
|
|
Style Transfer (F32)
|
100% |
24129
31.7 IPS |
|
|
Style Transfer (F16)
|
100% |
37343
49.1 IPS |
|
|
Style Transfer (I8)
|
100% |
36969
48.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5273
188.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7144
255.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7120
254.3 IPS |
|
|
Text Classification (F32)
|
100% |
2045
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3500
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3520
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1460
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1708
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1497
27.5 IPS |
