MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
9419
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 04:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.03 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6642
1.24 KIPS |
|
|
Image Classification (F16)
|
100% |
6833
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7202
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2871
48.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2409
40.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2515
42.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
61581
74.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
95716
115.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
92405
111.9 IPS |
|
|
Object Detection (F32)
|
100% |
4393
328.0 IPS |
|
|
Object Detection (F16)
|
100% |
3918
292.5 IPS |
|
|
Object Detection (I8)
|
97% |
4027
300.7 IPS |
|
|
Face Detection (F32)
|
100% |
21665
257.6 IPS |
|
|
Face Detection (F16)
|
97% |
11733
139.5 IPS |
|
|
Face Detection (I8)
|
96% |
12076
143.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
31500
244.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
45485
352.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
39643
307.4 IPS |
|
|
Style Transfer (F32)
|
100% |
129473
170.3 IPS |
|
|
Style Transfer (F16)
|
100% |
143485
188.7 IPS |
|
|
Style Transfer (I8)
|
100% |
138665
182.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14067
502.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17607
628.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18097
646.3 IPS |
|
|
Text Classification (F32)
|
100% |
566
813.3 IPS |
|
|
Text Classification (F16)
|
100% |
557
800.2 IPS |
|
|
Text Classification (I8)
|
96% |
696
999.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1153
21.2 IPS |
|
|
Machine Translation (F16)
|
99% |
1241
22.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1226
22.6 IPS |
