MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10131
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | NoobNotFound |
| Upload Date | August 22 2024 05:48 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4908
918.5 IPS |
|
|
Image Classification (F16)
|
100% |
11235
2.10 KIPS |
|
|
Image Classification (I8)
|
99% |
11660
2.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
987
16.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1232
20.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1596
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
40850
49.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
81139
98.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
78863
95.5 IPS |
|
|
Object Detection (F32)
|
100% |
3337
249.1 IPS |
|
|
Object Detection (F16)
|
100% |
5752
429.4 IPS |
|
|
Object Detection (I8)
|
97% |
3343
249.6 IPS |
|
|
Face Detection (F32)
|
100% |
13083
155.6 IPS |
|
|
Face Detection (F16)
|
97% |
19031
226.3 IPS |
|
|
Face Detection (I8)
|
96% |
19975
237.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
25636
198.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
47108
365.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
65750
509.9 IPS |
|
|
Style Transfer (F32)
|
100% |
75218
98.9 IPS |
|
|
Style Transfer (F16)
|
100% |
128481
169.0 IPS |
|
|
Style Transfer (I8)
|
100% |
132145
173.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7963
284.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33717
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31858
1.14 KIPS |
|
|
Text Classification (F32)
|
100% |
1910
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
3197
4.59 KIPS |
|
|
Text Classification (I8)
|
96% |
3168
4.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
703
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2339
43.0 IPS |
|
|
Machine Translation (I8)
|
99% |
516
9.49 IPS |
