MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
12680
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 29 2024 07:35 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 | 4.04 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6512
1.22 KIPS |
|
|
Image Classification (F16)
|
100% |
6298
1.18 KIPS |
|
|
Image Classification (I8)
|
99% |
6737
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2939
49.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3334
55.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
3397
56.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
61332
74.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
106900
129.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
108607
131.5 IPS |
|
|
Object Detection (F32)
|
100% |
4596
343.1 IPS |
|
|
Object Detection (F16)
|
100% |
4638
346.3 IPS |
|
|
Object Detection (I8)
|
97% |
3446
257.3 IPS |
|
|
Face Detection (F32)
|
100% |
20895
248.4 IPS |
|
|
Face Detection (F16)
|
97% |
22374
266.0 IPS |
|
|
Face Detection (I8)
|
96% |
22317
265.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
30285
234.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
46734
362.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
49484
383.7 IPS |
|
|
Style Transfer (F32)
|
100% |
126973
167.0 IPS |
|
|
Style Transfer (F16)
|
100% |
152532
200.6 IPS |
|
|
Style Transfer (I8)
|
100% |
153975
202.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11029
393.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
29615
1.06 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
29295
1.05 KIPS |
|
|
Text Classification (F32)
|
100% |
2483
3.57 KIPS |
|
|
Text Classification (F16)
|
100% |
4335
6.23 KIPS |
|
|
Text Classification (I8)
|
96% |
4356
6.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
1164
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2023
37.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1121
20.6 IPS |
