MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10442
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 03 2024 02:13 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5074a) |
| 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 | 4.05 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6743
1.26 KIPS |
|
|
Image Classification (F16)
|
100% |
6751
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
6706
1.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3084
51.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2556
42.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2566
42.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
83039
100.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
88445
107.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
91014
110.2 IPS |
|
|
Object Detection (F32)
|
100% |
5001
373.4 IPS |
|
|
Object Detection (F16)
|
100% |
4051
302.5 IPS |
|
|
Object Detection (I8)
|
97% |
5146
384.2 IPS |
|
|
Face Detection (F32)
|
100% |
24121
286.8 IPS |
|
|
Face Detection (F16)
|
97% |
12063
143.4 IPS |
|
|
Face Detection (I8)
|
96% |
11890
141.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
35750
277.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
35561
275.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
36586
283.7 IPS |
|
|
Style Transfer (F32)
|
100% |
158986
209.1 IPS |
|
|
Style Transfer (F16)
|
100% |
134787
177.3 IPS |
|
|
Style Transfer (I8)
|
100% |
140503
184.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8961
320.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16492
589.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16745
598.0 IPS |
|
|
Text Classification (F32)
|
100% |
404
579.9 IPS |
|
|
Text Classification (F16)
|
100% |
2244
3.23 KIPS |
|
|
Text Classification (I8)
|
96% |
2353
3.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
1053
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3355
61.7 IPS |
|
|
Machine Translation (I8)
|
99% |
942
17.3 IPS |
