MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
5965
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:46 AM |
| Views | 7 |
| Notes | MacBook Pro (14-inch, M3, Nov 2023)/M3 8Core CPU/10Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4106
768.3 IPS |
|
|
Image Classification (F16)
|
100% |
4360
816.0 IPS |
|
|
Image Classification (I8)
|
99% |
3899
729.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1744
29.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1972
32.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1965
32.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23999
29.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25566
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
25047
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
3426
255.8 IPS |
|
|
Object Detection (F16)
|
100% |
3620
270.2 IPS |
|
|
Object Detection (I8)
|
97% |
3150
235.2 IPS |
|
|
Face Detection (F32)
|
100% |
10723
127.5 IPS |
|
|
Face Detection (F16)
|
98% |
13247
157.5 IPS |
|
|
Face Detection (I8)
|
97% |
13160
156.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
18478
143.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
20411
158.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
18597
144.2 IPS |
|
|
Style Transfer (F32)
|
100% |
50764
66.8 IPS |
|
|
Style Transfer (F16)
|
100% |
58576
77.1 IPS |
|
|
Style Transfer (I8)
|
100% |
58311
76.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8718
311.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10721
382.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8666
309.5 IPS |
|
|
Text Classification (F32)
|
100% |
683
981.3 IPS |
|
|
Text Classification (F16)
|
100% |
729
1.05 KIPS |
|
|
Text Classification (I8)
|
96% |
734
1.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1043
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1081
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
866
15.9 IPS |
