MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9917
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | faridfawzi |
| Upload Date | August 21 2024 02:30 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 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% |
5080
950.7 IPS |
|
|
Image Classification (F16)
|
100% |
7156
1.34 KIPS |
|
|
Image Classification (I8)
|
99% |
8060
1.51 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1987
33.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1980
33.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1937
32.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
32672
39.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
96103
116.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
88327
107.0 IPS |
|
|
Object Detection (F32)
|
100% |
3889
290.3 IPS |
|
|
Object Detection (F16)
|
100% |
4280
319.5 IPS |
|
|
Object Detection (I8)
|
97% |
3760
280.7 IPS |
|
|
Face Detection (F32)
|
100% |
13747
163.5 IPS |
|
|
Face Detection (F16)
|
97% |
12820
152.4 IPS |
|
|
Face Detection (I8)
|
96% |
12309
146.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
21490
166.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
38661
299.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
44863
347.9 IPS |
|
|
Style Transfer (F32)
|
100% |
71638
94.2 IPS |
|
|
Style Transfer (F16)
|
100% |
146529
192.7 IPS |
|
|
Style Transfer (I8)
|
100% |
148014
194.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9404
335.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20610
736.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20704
739.4 IPS |
|
|
Text Classification (F32)
|
100% |
985
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
3996
5.74 KIPS |
|
|
Text Classification (I8)
|
96% |
3887
5.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
966
17.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2864
52.7 IPS |
|
|
Machine Translation (I8)
|
99% |
943
17.4 IPS |
