MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
8331
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 06 2024 04:43 AM |
| Views | 71 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4199
785.8 IPS |
|
|
Image Classification (F16)
|
100% |
7394
1.38 KIPS |
|
|
Image Classification (I8)
|
99% |
8299
1.55 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1484
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2015
33.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2007
33.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23949
29.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
95693
115.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
94691
114.7 IPS |
|
|
Object Detection (F32)
|
100% |
3372
251.7 IPS |
|
|
Object Detection (F16)
|
100% |
5374
401.2 IPS |
|
|
Object Detection (I8)
|
97% |
3071
229.2 IPS |
|
|
Face Detection (F32)
|
100% |
10893
129.5 IPS |
|
|
Face Detection (F16)
|
97% |
15269
181.6 IPS |
|
|
Face Detection (I8)
|
96% |
14007
166.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
18365
142.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
34422
266.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
38799
300.9 IPS |
|
|
Style Transfer (F32)
|
100% |
47478
62.5 IPS |
|
|
Style Transfer (F16)
|
100% |
150065
197.4 IPS |
|
|
Style Transfer (I8)
|
100% |
149313
196.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9946
355.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20864
745.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20718
739.9 IPS |
|
|
Text Classification (F32)
|
100% |
744
1.07 KIPS |
|
|
Text Classification (F16)
|
100% |
737
1.06 KIPS |
|
|
Text Classification (I8)
|
96% |
705
1.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
896
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2999
55.2 IPS |
|
|
Machine Translation (I8)
|
99% |
825
15.2 IPS |
