MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9861
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 06:22 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
4985
932.7 IPS |
|
|
Image Classification (F16)
|
100% |
7163
1.34 KIPS |
|
|
Image Classification (I8)
|
99% |
7908
1.48 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2220
37.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2195
36.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2188
36.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
32977
39.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
96049
116.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
97009
117.5 IPS |
|
|
Object Detection (F32)
|
100% |
3393
253.3 IPS |
|
|
Object Detection (F16)
|
100% |
5093
380.2 IPS |
|
|
Object Detection (I8)
|
97% |
3773
281.7 IPS |
|
|
Face Detection (F32)
|
100% |
14158
168.3 IPS |
|
|
Face Detection (F16)
|
97% |
12860
152.9 IPS |
|
|
Face Detection (I8)
|
96% |
12812
152.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
22017
170.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
38089
295.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
38397
297.8 IPS |
|
|
Style Transfer (F32)
|
100% |
73896
97.2 IPS |
|
|
Style Transfer (F16)
|
100% |
144601
190.2 IPS |
|
|
Style Transfer (I8)
|
100% |
149483
196.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10220
365.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19640
701.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20605
735.9 IPS |
|
|
Text Classification (F32)
|
100% |
528
758.5 IPS |
|
|
Text Classification (F16)
|
100% |
3567
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3697
5.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1068
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3006
55.3 IPS |
|
|
Machine Translation (I8)
|
99% |
985
18.1 IPS |
