MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4140
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 04:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 10 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1675
313.5 IPS |
|
|
Image Classification (F16)
|
100% |
2024
378.7 IPS |
|
|
Image Classification (I8)
|
99% |
2007
375.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1087
18.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1069
17.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1064
17.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8247
9.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
16082
19.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
16182
19.6 IPS |
|
|
Object Detection (F32)
|
100% |
1731
129.2 IPS |
|
|
Object Detection (F16)
|
100% |
2284
170.6 IPS |
|
|
Object Detection (I8)
|
97% |
1729
129.0 IPS |
|
|
Face Detection (F32)
|
100% |
3488
41.5 IPS |
|
|
Face Detection (F16)
|
97% |
5002
59.5 IPS |
|
|
Face Detection (I8)
|
97% |
5048
60.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6743
52.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9728
75.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
9693
75.2 IPS |
|
|
Style Transfer (F32)
|
100% |
19834
26.1 IPS |
|
|
Style Transfer (F16)
|
100% |
29446
38.7 IPS |
|
|
Style Transfer (I8)
|
100% |
29104
38.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5075
181.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5556
198.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5517
197.0 IPS |
|
|
Text Classification (F32)
|
100% |
2527
3.63 KIPS |
|
|
Text Classification (F16)
|
100% |
4612
6.63 KIPS |
|
|
Text Classification (I8)
|
96% |
4228
6.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
1429
26.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1769
32.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1430
26.3 IPS |
