MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4132
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 10:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| 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% |
1686
315.5 IPS |
|
|
Image Classification (F16)
|
100% |
1992
372.7 IPS |
|
|
Image Classification (I8)
|
99% |
2000
374.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1095
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1057
17.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1063
17.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8352
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16485
20.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
16498
20.0 IPS |
|
|
Object Detection (F32)
|
100% |
1738
129.7 IPS |
|
|
Object Detection (F16)
|
100% |
2308
172.3 IPS |
|
|
Object Detection (I8)
|
97% |
1746
130.3 IPS |
|
|
Face Detection (F32)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (F16)
|
97% |
5074
60.3 IPS |
|
|
Face Detection (I8)
|
97% |
5019
59.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6749
52.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9745
75.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
9759
75.7 IPS |
|
|
Style Transfer (F32)
|
100% |
20634
27.1 IPS |
|
|
Style Transfer (F16)
|
100% |
29336
38.6 IPS |
|
|
Style Transfer (I8)
|
100% |
29142
38.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5153
184.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5274
188.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5379
192.1 IPS |
|
|
Text Classification (F32)
|
100% |
2503
3.60 KIPS |
|
|
Text Classification (F16)
|
100% |
4194
6.03 KIPS |
|
|
Text Classification (I8)
|
96% |
4210
6.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1417
26.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1765
32.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1434
26.4 IPS |
