MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
12283
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 10 2024 12:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6393
1.20 KIPS |
|
|
Image Classification (F16)
|
100% |
6236
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6798
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2757
46.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2947
49.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2945
49.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
83028
100.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
106108
128.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
109864
133.0 IPS |
|
|
Object Detection (F32)
|
100% |
4867
363.4 IPS |
|
|
Object Detection (F16)
|
100% |
4583
342.1 IPS |
|
|
Object Detection (I8)
|
97% |
3416
255.0 IPS |
|
|
Face Detection (F32)
|
100% |
22707
270.0 IPS |
|
|
Face Detection (F16)
|
97% |
22212
264.1 IPS |
|
|
Face Detection (I8)
|
96% |
22240
264.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
32982
255.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
50752
393.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
47298
366.8 IPS |
|
|
Style Transfer (F32)
|
100% |
111067
146.1 IPS |
|
|
Style Transfer (F16)
|
100% |
149868
197.1 IPS |
|
|
Style Transfer (I8)
|
100% |
142294
187.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12202
435.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23834
851.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
24895
889.1 IPS |
|
|
Text Classification (F32)
|
100% |
2496
3.59 KIPS |
|
|
Text Classification (F16)
|
100% |
4310
6.19 KIPS |
|
|
Text Classification (I8)
|
96% |
4393
6.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1111
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1612
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
775
14.3 IPS |
