MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
5043
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 09 2024 11:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.69 GHz |
| Cluster 1 | 12 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1545
289.2 IPS |
|
|
Image Classification (F16)
|
100% |
2457
459.8 IPS |
|
|
Image Classification (I8)
|
99% |
2456
459.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1218
20.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1442
24.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1356
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
15584
18.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
22265
27.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
26154
31.7 IPS |
|
|
Object Detection (F32)
|
100% |
1765
131.8 IPS |
|
|
Object Detection (F16)
|
100% |
2487
185.7 IPS |
|
|
Object Detection (I8)
|
97% |
1739
129.8 IPS |
|
|
Face Detection (F32)
|
100% |
3953
47.0 IPS |
|
|
Face Detection (F16)
|
97% |
6356
75.6 IPS |
|
|
Face Detection (I8)
|
97% |
6467
76.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7180
55.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13083
101.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
12981
100.7 IPS |
|
|
Style Transfer (F32)
|
100% |
29397
38.7 IPS |
|
|
Style Transfer (F16)
|
100% |
40900
53.8 IPS |
|
|
Style Transfer (I8)
|
100% |
43068
56.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6129
218.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8260
295.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8060
287.9 IPS |
|
|
Text Classification (F32)
|
100% |
2376
3.42 KIPS |
|
|
Text Classification (F16)
|
100% |
4057
5.83 KIPS |
|
|
Text Classification (I8)
|
96% |
4408
6.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
1474
27.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1862
34.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1608
29.6 IPS |
