MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4129
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 07:48 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 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% |
1693
316.8 IPS |
|
|
Image Classification (F16)
|
100% |
1994
373.2 IPS |
|
|
Image Classification (I8)
|
99% |
2001
374.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1089
18.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1049
17.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1047
17.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8357
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16425
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16442
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1739
129.8 IPS |
|
|
Object Detection (F16)
|
100% |
2305
172.1 IPS |
|
|
Object Detection (I8)
|
97% |
1729
129.1 IPS |
|
|
Face Detection (F32)
|
100% |
3467
41.2 IPS |
|
|
Face Detection (F16)
|
97% |
5069
60.3 IPS |
|
|
Face Detection (I8)
|
97% |
5078
60.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6739
52.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9713
75.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
9757
75.7 IPS |
|
|
Style Transfer (F32)
|
100% |
19274
25.4 IPS |
|
|
Style Transfer (F16)
|
100% |
29456
38.7 IPS |
|
|
Style Transfer (I8)
|
100% |
29951
39.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5086
181.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5461
195.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5634
201.2 IPS |
|
|
Text Classification (F32)
|
100% |
2511
3.61 KIPS |
|
|
Text Classification (F16)
|
100% |
4216
6.06 KIPS |
|
|
Text Classification (I8)
|
96% |
4198
6.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1414
26.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1760
32.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1417
26.1 IPS |
