MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
2262
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | amatin22 |
| Upload Date | July 25 2024 10:50 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.3 (Build 23D56) |
| 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 | 3.68 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% |
1152
215.6 IPS |
|
|
Image Classification (F16)
|
100% |
1096
205.0 IPS |
|
|
Image Classification (I8)
|
99% |
1066
199.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
675
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
604
10.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
606
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14283
17.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
19334
23.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
16715
20.2 IPS |
|
|
Object Detection (F32)
|
100% |
1205
90.0 IPS |
|
|
Object Detection (F16)
|
100% |
1298
96.9 IPS |
|
|
Object Detection (I8)
|
97% |
1162
86.8 IPS |
|
|
Face Detection (F32)
|
100% |
2248
26.7 IPS |
|
|
Face Detection (F16)
|
100% |
2021
24.0 IPS |
|
|
Face Detection (I8)
|
99% |
1933
23.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3901
30.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3728
28.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3645
28.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15910
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
15702
20.7 IPS |
|
|
Style Transfer (I8)
|
100% |
15012
19.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2283
81.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2499
89.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2868
102.4 IPS |
|
|
Text Classification (F32)
|
100% |
642
922.7 IPS |
|
|
Text Classification (F16)
|
100% |
814
1.17 KIPS |
|
|
Text Classification (I8)
|
96% |
671
965.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1211
22.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1226
22.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1051
19.3 IPS |
