MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4138
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | faridfawzi |
| Upload Date | August 21 2024 02:26 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1645
307.8 IPS |
|
|
Image Classification (F16)
|
100% |
2102
393.3 IPS |
|
|
Image Classification (I8)
|
99% |
2108
394.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1053
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1014
16.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1007
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8287
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16339
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16306
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
1683
125.6 IPS |
|
|
Object Detection (F16)
|
100% |
2254
168.3 IPS |
|
|
Object Detection (I8)
|
97% |
1689
126.1 IPS |
|
|
Face Detection (F32)
|
100% |
3293
39.2 IPS |
|
|
Face Detection (F16)
|
97% |
4998
59.4 IPS |
|
|
Face Detection (I8)
|
97% |
5033
59.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6685
51.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9586
74.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
9577
74.3 IPS |
|
|
Style Transfer (F32)
|
100% |
20951
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
30557
40.2 IPS |
|
|
Style Transfer (I8)
|
100% |
30430
40.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5145
183.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5863
209.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6090
217.5 IPS |
|
|
Text Classification (F32)
|
100% |
2617
3.76 KIPS |
|
|
Text Classification (F16)
|
100% |
4161
5.98 KIPS |
|
|
Text Classification (I8)
|
96% |
4134
5.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
1439
26.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1694
31.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1448
26.6 IPS |
