MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10930
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 10:10 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 4.05 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% |
6760
1.26 KIPS |
|
|
Image Classification (F16)
|
100% |
6431
1.20 KIPS |
|
|
Image Classification (I8)
|
99% |
6501
1.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3108
51.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2558
42.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2474
41.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
83334
100.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
87840
106.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
93131
112.8 IPS |
|
|
Object Detection (F32)
|
100% |
3738
279.1 IPS |
|
|
Object Detection (F16)
|
100% |
4133
308.6 IPS |
|
|
Object Detection (I8)
|
97% |
4082
304.8 IPS |
|
|
Face Detection (F32)
|
100% |
24030
285.7 IPS |
|
|
Face Detection (F16)
|
97% |
12098
143.8 IPS |
|
|
Face Detection (I8)
|
96% |
12104
143.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
35487
275.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
33528
260.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
32407
251.3 IPS |
|
|
Style Transfer (F32)
|
100% |
164918
216.9 IPS |
|
|
Style Transfer (F16)
|
100% |
140138
184.3 IPS |
|
|
Style Transfer (I8)
|
100% |
141772
186.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11953
426.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15778
563.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16989
606.7 IPS |
|
|
Text Classification (F32)
|
100% |
1584
2.28 KIPS |
|
|
Text Classification (F16)
|
100% |
2614
3.76 KIPS |
|
|
Text Classification (I8)
|
96% |
2732
3.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1089
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3472
63.9 IPS |
|
|
Machine Translation (I8)
|
99% |
992
18.3 IPS |
