MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
5071
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | eugeneego |
| Upload Date | August 17 2024 01:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 12 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1477
276.3 IPS |
|
|
Image Classification (F16)
|
100% |
2338
437.5 IPS |
|
|
Image Classification (I8)
|
99% |
2328
435.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1212
20.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1547
25.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1531
25.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
15856
19.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
26460
32.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
26930
32.6 IPS |
|
|
Object Detection (F32)
|
100% |
1762
131.5 IPS |
|
|
Object Detection (F16)
|
100% |
2554
190.7 IPS |
|
|
Object Detection (I8)
|
97% |
1766
131.8 IPS |
|
|
Face Detection (F32)
|
100% |
3883
46.2 IPS |
|
|
Face Detection (F16)
|
97% |
6328
75.2 IPS |
|
|
Face Detection (I8)
|
97% |
6386
75.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7250
56.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
12762
99.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
12681
98.3 IPS |
|
|
Style Transfer (F32)
|
100% |
29892
39.3 IPS |
|
|
Style Transfer (F16)
|
100% |
41230
54.2 IPS |
|
|
Style Transfer (I8)
|
100% |
41915
55.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5897
210.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7775
277.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7804
278.7 IPS |
|
|
Text Classification (F32)
|
100% |
2469
3.55 KIPS |
|
|
Text Classification (F16)
|
100% |
4230
6.08 KIPS |
|
|
Text Classification (I8)
|
96% |
4200
6.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1590
29.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1848
34.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1572
28.9 IPS |
