MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
7304
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 04 2024 01:44 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 2.97 GHz |
| Cluster 1 | 4 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3307
618.9 IPS |
|
|
Image Classification (F16)
|
100% |
6671
1.25 KIPS |
|
|
Image Classification (I8)
|
99% |
7268
1.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
924
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1119
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1113
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
22428
27.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
91913
111.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
91982
111.4 IPS |
|
|
Object Detection (F32)
|
100% |
2662
198.7 IPS |
|
|
Object Detection (F16)
|
100% |
5028
375.4 IPS |
|
|
Object Detection (I8)
|
97% |
2621
195.6 IPS |
|
|
Face Detection (F32)
|
100% |
9174
109.1 IPS |
|
|
Face Detection (F16)
|
97% |
11884
141.3 IPS |
|
|
Face Detection (I8)
|
96% |
11695
139.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16790
130.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
54404
421.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
55827
432.9 IPS |
|
|
Style Transfer (F32)
|
100% |
47956
63.1 IPS |
|
|
Style Transfer (F16)
|
100% |
142407
187.3 IPS |
|
|
Style Transfer (I8)
|
100% |
143099
188.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8900
317.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20246
723.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20359
727.1 IPS |
|
|
Text Classification (F32)
|
100% |
734
1.05 KIPS |
|
|
Text Classification (F16)
|
100% |
567
814.3 IPS |
|
|
Text Classification (I8)
|
96% |
572
821.9 IPS |
|
|
Machine Translation (F32)
|
100% |
721
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2495
45.9 IPS |
|
|
Machine Translation (I8)
|
99% |
660
12.1 IPS |
