MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4101
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 01 2024 11:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 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% |
1707
319.4 IPS |
|
|
Image Classification (F16)
|
100% |
1997
373.6 IPS |
|
|
Image Classification (I8)
|
99% |
2023
378.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1082
18.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1062
17.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1048
17.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8352
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
15925
19.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
15890
19.2 IPS |
|
|
Object Detection (F32)
|
100% |
1725
128.8 IPS |
|
|
Object Detection (F16)
|
100% |
2298
171.6 IPS |
|
|
Object Detection (I8)
|
97% |
1742
130.1 IPS |
|
|
Face Detection (F32)
|
100% |
3497
41.6 IPS |
|
|
Face Detection (F16)
|
97% |
5008
59.5 IPS |
|
|
Face Detection (I8)
|
97% |
5005
59.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6751
52.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9760
75.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9761
75.7 IPS |
|
|
Style Transfer (F32)
|
100% |
19124
25.2 IPS |
|
|
Style Transfer (F16)
|
100% |
28731
37.8 IPS |
|
|
Style Transfer (I8)
|
100% |
28819
37.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5129
183.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5275
188.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5381
192.2 IPS |
|
|
Text Classification (F32)
|
100% |
2521
3.62 KIPS |
|
|
Text Classification (F16)
|
100% |
4201
6.04 KIPS |
|
|
Text Classification (I8)
|
96% |
4202
6.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1403
25.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1762
32.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1413
26.0 IPS |
