MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10470
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 12 2024 06:20 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| 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 | 4.01 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% |
7060
1.32 KIPS |
|
|
Image Classification (F16)
|
100% |
6995
1.31 KIPS |
|
|
Image Classification (I8)
|
99% |
7116
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2841
47.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2440
40.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2438
40.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
51298
62.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
94610
114.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
98596
119.4 IPS |
|
|
Object Detection (F32)
|
100% |
5079
379.2 IPS |
|
|
Object Detection (F16)
|
100% |
3870
288.9 IPS |
|
|
Object Detection (I8)
|
97% |
4625
345.3 IPS |
|
|
Face Detection (F32)
|
100% |
25184
299.4 IPS |
|
|
Face Detection (F16)
|
97% |
14859
176.7 IPS |
|
|
Face Detection (I8)
|
96% |
14447
171.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
32686
253.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
46124
357.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
27727
215.0 IPS |
|
|
Style Transfer (F32)
|
100% |
115970
152.5 IPS |
|
|
Style Transfer (F16)
|
100% |
136371
179.4 IPS |
|
|
Style Transfer (I8)
|
100% |
130180
171.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13356
477.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15181
542.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16331
583.2 IPS |
|
|
Text Classification (F32)
|
100% |
514
738.2 IPS |
|
|
Text Classification (F16)
|
100% |
3352
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3127
4.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
770
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3226
59.4 IPS |
|
|
Machine Translation (I8)
|
99% |
745
13.7 IPS |
