MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
6897
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 14 2024 09:28 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 2.62 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4944
925.2 IPS |
|
|
Image Classification (F16)
|
100% |
5348
1.00 KIPS |
|
|
Image Classification (I8)
|
99% |
4695
878.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
983
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
991
16.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
909
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
41251
50.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
42165
51.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
42652
51.7 IPS |
|
|
Object Detection (F32)
|
100% |
3212
239.8 IPS |
|
|
Object Detection (F16)
|
100% |
3306
246.8 IPS |
|
|
Object Detection (I8)
|
97% |
3123
233.1 IPS |
|
|
Face Detection (F32)
|
100% |
11140
132.5 IPS |
|
|
Face Detection (F16)
|
98% |
14728
175.1 IPS |
|
|
Face Detection (I8)
|
97% |
13411
159.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
18830
146.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
27583
213.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
26752
207.5 IPS |
|
|
Style Transfer (F32)
|
100% |
70015
92.1 IPS |
|
|
Style Transfer (F16)
|
100% |
72343
95.2 IPS |
|
|
Style Transfer (I8)
|
100% |
79333
104.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8209
293.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9240
330.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8706
310.9 IPS |
|
|
Text Classification (F32)
|
100% |
1945
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
3332
4.79 KIPS |
|
|
Text Classification (I8)
|
96% |
3290
4.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
748
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
770
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
537
9.88 IPS |
