MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
8442
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 23 2024 09:08 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1.2 (Build 23B2091) |
| 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 | 4.05 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4225
790.5 IPS |
|
|
Image Classification (F16)
|
100% |
7417
1.39 KIPS |
|
|
Image Classification (I8)
|
99% |
8026
1.50 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1785
29.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2140
35.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2160
36.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23677
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
96902
117.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
99151
120.1 IPS |
|
|
Object Detection (F32)
|
100% |
3226
240.8 IPS |
|
|
Object Detection (F16)
|
100% |
5226
390.2 IPS |
|
|
Object Detection (I8)
|
97% |
3045
227.3 IPS |
|
|
Face Detection (F32)
|
100% |
10795
128.4 IPS |
|
|
Face Detection (F16)
|
97% |
14886
177.0 IPS |
|
|
Face Detection (I8)
|
96% |
15041
178.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
18306
142.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
41836
324.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
51768
401.5 IPS |
|
|
Style Transfer (F32)
|
100% |
50206
66.0 IPS |
|
|
Style Transfer (F16)
|
100% |
148247
195.0 IPS |
|
|
Style Transfer (I8)
|
100% |
148359
195.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9839
351.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21016
750.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20505
732.3 IPS |
|
|
Text Classification (F32)
|
100% |
525
754.1 IPS |
|
|
Text Classification (F16)
|
100% |
681
978.4 IPS |
|
|
Text Classification (I8)
|
96% |
630
906.0 IPS |
|
|
Machine Translation (F32)
|
100% |
947
17.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3181
58.5 IPS |
|
|
Machine Translation (I8)
|
99% |
845
15.5 IPS |
