MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4143
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 25 2024 09:00 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1635
306.0 IPS |
|
|
Image Classification (F16)
|
100% |
2103
393.5 IPS |
|
|
Image Classification (I8)
|
99% |
2091
391.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1089
18.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
982
16.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1009
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8253
9.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
16279
19.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
16334
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1689
126.1 IPS |
|
|
Object Detection (F16)
|
100% |
2262
168.8 IPS |
|
|
Object Detection (I8)
|
97% |
1689
126.1 IPS |
|
|
Face Detection (F32)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (F16)
|
97% |
5011
59.6 IPS |
|
|
Face Detection (I8)
|
97% |
4987
59.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6686
51.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9600
74.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9625
74.6 IPS |
|
|
Style Transfer (F32)
|
100% |
21059
27.7 IPS |
|
|
Style Transfer (F16)
|
100% |
30806
40.5 IPS |
|
|
Style Transfer (I8)
|
100% |
30723
40.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5162
184.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6153
219.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5961
212.9 IPS |
|
|
Text Classification (F32)
|
100% |
2569
3.69 KIPS |
|
|
Text Classification (F16)
|
100% |
4144
5.96 KIPS |
|
|
Text Classification (I8)
|
96% |
4210
6.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1445
26.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1691
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1448
26.6 IPS |
