MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
11332
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 07:05 PM |
| Views | 3 |
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 | 4.03 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 | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7069
1.32 KIPS |
|
|
Image Classification (F16)
|
100% |
7194
1.35 KIPS |
|
|
Image Classification (I8)
|
99% |
7434
1.39 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2916
48.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2426
40.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2495
41.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
84785
102.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
91056
110.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
91239
110.5 IPS |
|
|
Object Detection (F32)
|
100% |
4500
336.0 IPS |
|
|
Object Detection (F16)
|
100% |
4342
324.1 IPS |
|
|
Object Detection (I8)
|
97% |
4094
305.6 IPS |
|
|
Face Detection (F32)
|
100% |
24470
291.0 IPS |
|
|
Face Detection (F16)
|
97% |
12104
143.9 IPS |
|
|
Face Detection (I8)
|
96% |
12133
144.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
35817
277.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
33978
263.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
38536
298.8 IPS |
|
|
Style Transfer (F32)
|
100% |
159866
210.3 IPS |
|
|
Style Transfer (F16)
|
100% |
141450
186.1 IPS |
|
|
Style Transfer (I8)
|
100% |
140924
185.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17231
615.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16951
605.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17892
639.0 IPS |
|
|
Text Classification (F32)
|
100% |
1125
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
2893
4.16 KIPS |
|
|
Text Classification (I8)
|
96% |
3023
4.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
1118
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3518
64.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1045
19.2 IPS |
