MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
7162
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:54 AM |
| Views | 15 |
| Notes | MacBook Pro (14-inch, M3 Pro or M3 Max, Nov 2023)/M3 Pro 11Core CPU/14Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5053
945.6 IPS |
|
|
Image Classification (F16)
|
100% |
5320
995.5 IPS |
|
|
Image Classification (I8)
|
99% |
4678
875.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2165
36.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2264
37.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2209
36.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
33354
40.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
35193
42.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
34359
41.6 IPS |
|
|
Object Detection (F32)
|
100% |
4125
308.0 IPS |
|
|
Object Detection (F16)
|
100% |
4328
323.1 IPS |
|
|
Object Detection (I8)
|
97% |
3814
284.7 IPS |
|
|
Face Detection (F32)
|
100% |
14341
170.5 IPS |
|
|
Face Detection (F16)
|
98% |
16645
197.9 IPS |
|
|
Face Detection (I8)
|
97% |
16270
193.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
22492
174.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
24372
189.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
22554
174.9 IPS |
|
|
Style Transfer (F32)
|
100% |
73599
96.8 IPS |
|
|
Style Transfer (F16)
|
100% |
82496
108.5 IPS |
|
|
Style Transfer (I8)
|
100% |
82338
108.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10318
368.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9889
353.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10101
360.7 IPS |
|
|
Text Classification (F32)
|
100% |
560
804.4 IPS |
|
|
Text Classification (F16)
|
100% |
999
1.44 KIPS |
|
|
Text Classification (I8)
|
96% |
680
977.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1114
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1119
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1022
18.8 IPS |
