MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4147
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:56 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| 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% |
1700
318.2 IPS |
|
|
Image Classification (F16)
|
100% |
1999
374.1 IPS |
|
|
Image Classification (I8)
|
99% |
2005
375.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1090
18.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1072
17.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1075
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8371
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16484
20.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
16499
20.0 IPS |
|
|
Object Detection (F32)
|
100% |
1756
131.1 IPS |
|
|
Object Detection (F16)
|
100% |
2303
171.9 IPS |
|
|
Object Detection (I8)
|
97% |
1772
132.3 IPS |
|
|
Face Detection (F32)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (F16)
|
97% |
5143
61.1 IPS |
|
|
Face Detection (I8)
|
97% |
5151
61.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6773
52.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9753
75.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
9808
76.1 IPS |
|
|
Style Transfer (F32)
|
100% |
19518
25.7 IPS |
|
|
Style Transfer (F16)
|
100% |
29244
38.5 IPS |
|
|
Style Transfer (I8)
|
100% |
29345
38.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5107
182.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5446
194.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5317
189.9 IPS |
|
|
Text Classification (F32)
|
100% |
2508
3.60 KIPS |
|
|
Text Classification (F16)
|
100% |
4208
6.05 KIPS |
|
|
Text Classification (I8)
|
96% |
4196
6.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1442
26.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1768
32.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1448
26.7 IPS |
