MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10156
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 08 2024 03:57 PM |
| Views | 17 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1 (Build 23B2073) |
| 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% |
4808
899.6 IPS |
|
|
Image Classification (F16)
|
100% |
7204
1.35 KIPS |
|
|
Image Classification (I8)
|
99% |
7793
1.46 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2128
35.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2152
35.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2117
35.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
33132
40.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
96694
117.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
97070
117.5 IPS |
|
|
Object Detection (F32)
|
100% |
3086
230.4 IPS |
|
|
Object Detection (F16)
|
100% |
4299
320.9 IPS |
|
|
Object Detection (I8)
|
97% |
3809
284.4 IPS |
|
|
Face Detection (F32)
|
100% |
14533
172.8 IPS |
|
|
Face Detection (F16)
|
97% |
14219
169.1 IPS |
|
|
Face Detection (I8)
|
96% |
14539
172.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
22293
172.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
39026
302.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
37148
288.1 IPS |
|
|
Style Transfer (F32)
|
100% |
74534
98.0 IPS |
|
|
Style Transfer (F16)
|
100% |
147328
193.8 IPS |
|
|
Style Transfer (I8)
|
100% |
144180
189.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11467
409.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19414
693.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
21188
756.7 IPS |
|
|
Text Classification (F32)
|
100% |
934
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
4680
6.73 KIPS |
|
|
Text Classification (I8)
|
96% |
4565
6.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
1024
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2847
52.4 IPS |
|
|
Machine Translation (I8)
|
99% |
918
16.9 IPS |
