MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
3379
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 22 2024 07:04 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 2.81 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1267
237.2 IPS |
|
|
Image Classification (F16)
|
100% |
2167
405.5 IPS |
|
|
Image Classification (I8)
|
99% |
2189
409.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
627
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
857
14.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
878
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6779
8.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
12993
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12970
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1318
98.4 IPS |
|
|
Object Detection (F16)
|
100% |
2154
160.8 IPS |
|
|
Object Detection (I8)
|
97% |
1282
95.7 IPS |
|
|
Face Detection (F32)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (F16)
|
97% |
4798
57.0 IPS |
|
|
Face Detection (I8)
|
97% |
4814
57.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5684
44.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10270
79.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10272
79.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17053
22.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25526
33.6 IPS |
|
|
Style Transfer (I8)
|
100% |
25443
33.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4195
149.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4716
168.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4687
167.4 IPS |
|
|
Text Classification (F32)
|
100% |
2023
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3446
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3435
4.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
867
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1118
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
869
16.0 IPS |
