MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
5118
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 29 2024 07:12 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1490
278.7 IPS |
|
|
Image Classification (F16)
|
100% |
2375
444.4 IPS |
|
|
Image Classification (I8)
|
99% |
2370
443.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1282
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1611
26.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1620
27.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
15987
19.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
27801
33.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
27499
33.3 IPS |
|
|
Object Detection (F32)
|
100% |
1802
134.5 IPS |
|
|
Object Detection (F16)
|
100% |
2552
190.5 IPS |
|
|
Object Detection (I8)
|
97% |
1795
134.0 IPS |
|
|
Face Detection (F32)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (F16)
|
97% |
6574
78.2 IPS |
|
|
Face Detection (I8)
|
97% |
6513
77.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7446
57.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13439
104.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
13154
102.0 IPS |
|
|
Style Transfer (F32)
|
100% |
29503
38.8 IPS |
|
|
Style Transfer (F16)
|
100% |
41726
54.9 IPS |
|
|
Style Transfer (I8)
|
100% |
41299
54.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5878
209.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7856
280.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7688
274.6 IPS |
|
|
Text Classification (F32)
|
100% |
2542
3.65 KIPS |
|
|
Text Classification (F16)
|
100% |
4279
6.15 KIPS |
|
|
Text Classification (I8)
|
96% |
4676
6.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
1261
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2015
37.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1259
23.2 IPS |
