MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4149
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:12 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1701
318.3 IPS |
|
|
Image Classification (F16)
|
100% |
1992
372.7 IPS |
|
|
Image Classification (I8)
|
99% |
2003
374.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1124
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1099
18.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1104
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8343
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16520
20.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
16509
20.0 IPS |
|
|
Object Detection (F32)
|
100% |
1754
131.0 IPS |
|
|
Object Detection (F16)
|
100% |
2281
170.3 IPS |
|
|
Object Detection (I8)
|
97% |
1751
130.7 IPS |
|
|
Face Detection (F32)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (F16)
|
97% |
5123
60.9 IPS |
|
|
Face Detection (I8)
|
97% |
5085
60.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6755
52.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9734
75.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9762
75.7 IPS |
|
|
Style Transfer (F32)
|
100% |
19789
26.0 IPS |
|
|
Style Transfer (F16)
|
100% |
29079
38.3 IPS |
|
|
Style Transfer (I8)
|
100% |
29305
38.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5097
182.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5405
193.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5430
193.9 IPS |
|
|
Text Classification (F32)
|
100% |
2507
3.60 KIPS |
|
|
Text Classification (F16)
|
100% |
4180
6.01 KIPS |
|
|
Text Classification (I8)
|
96% |
4172
6.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1428
26.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1774
32.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1424
26.2 IPS |
