MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
5021
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 24 2024 04:39 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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% |
1513
283.0 IPS |
|
|
Image Classification (F16)
|
100% |
2377
444.7 IPS |
|
|
Image Classification (I8)
|
99% |
2382
445.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1272
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1582
26.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1608
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
16081
19.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
26701
32.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
26723
32.4 IPS |
|
|
Object Detection (F32)
|
100% |
1806
134.8 IPS |
|
|
Object Detection (F16)
|
100% |
2561
191.2 IPS |
|
|
Object Detection (I8)
|
97% |
1811
135.2 IPS |
|
|
Face Detection (F32)
|
100% |
4000
47.6 IPS |
|
|
Face Detection (F16)
|
97% |
6478
77.0 IPS |
|
|
Face Detection (I8)
|
97% |
6453
76.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7222
56.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
12853
99.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
12768
99.0 IPS |
|
|
Style Transfer (F32)
|
100% |
29463
38.8 IPS |
|
|
Style Transfer (F16)
|
100% |
40735
53.6 IPS |
|
|
Style Transfer (I8)
|
100% |
41156
54.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5909
211.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7774
277.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7813
279.0 IPS |
|
|
Text Classification (F32)
|
100% |
2426
3.49 KIPS |
|
|
Text Classification (F16)
|
100% |
4138
5.95 KIPS |
|
|
Text Classification (I8)
|
96% |
4173
6.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1220
22.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1988
36.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1114
20.5 IPS |
