MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4092
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:03 AM |
| Views | 10 |
| Notes | MacBook Pro (16-inch, Nov 2023)/M3 Max 16Core CPU/40Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1680
314.3 IPS |
|
|
Image Classification (F16)
|
100% |
2001
374.4 IPS |
|
|
Image Classification (I8)
|
99% |
1996
373.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1064
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1037
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1043
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8361
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16460
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16443
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1743
130.1 IPS |
|
|
Object Detection (F16)
|
100% |
2311
172.5 IPS |
|
|
Object Detection (I8)
|
97% |
1723
128.6 IPS |
|
|
Face Detection (F32)
|
100% |
3462
41.2 IPS |
|
|
Face Detection (F16)
|
97% |
5001
59.5 IPS |
|
|
Face Detection (I8)
|
97% |
5037
59.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6738
52.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9769
75.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9769
75.8 IPS |
|
|
Style Transfer (F32)
|
100% |
19527
25.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28673
37.7 IPS |
|
|
Style Transfer (I8)
|
100% |
28967
38.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5082
181.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5253
187.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5258
187.8 IPS |
|
|
Text Classification (F32)
|
100% |
2511
3.61 KIPS |
|
|
Text Classification (F16)
|
100% |
4191
6.02 KIPS |
|
|
Text Classification (I8)
|
96% |
4194
6.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1382
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1742
32.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1387
25.5 IPS |
