MacBook Pro (16-inch, 2023)
Geekbench ML Score
4479
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 12 2024 05:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.43 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% |
1355
253.5 IPS |
|
|
Image Classification (F16)
|
100% |
2215
414.5 IPS |
|
|
Image Classification (I8)
|
99% |
2218
415.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1017
17.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1305
21.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1309
21.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
12459
15.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
23332
28.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
23266
28.2 IPS |
|
|
Object Detection (F32)
|
100% |
1540
115.0 IPS |
|
|
Object Detection (F16)
|
100% |
2348
175.3 IPS |
|
|
Object Detection (I8)
|
97% |
1542
115.1 IPS |
|
|
Face Detection (F32)
|
100% |
3479
41.4 IPS |
|
|
Face Detection (F16)
|
97% |
5723
68.0 IPS |
|
|
Face Detection (I8)
|
97% |
5766
68.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6131
47.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
12022
93.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11980
92.9 IPS |
|
|
Style Transfer (F32)
|
100% |
24376
32.1 IPS |
|
|
Style Transfer (F16)
|
100% |
37747
49.7 IPS |
|
|
Style Transfer (I8)
|
100% |
36712
48.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4509
161.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7125
254.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7032
251.1 IPS |
|
|
Text Classification (F32)
|
100% |
2070
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3712
5.33 KIPS |
|
|
Text Classification (I8)
|
96% |
3783
5.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
1468
27.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1670
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1435
26.4 IPS |
