MacBook Pro (16-inch, 2023)
Geekbench ML Score
11195
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 08:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4716
882.5 IPS |
|
|
Image Classification (F16)
|
100% |
10806
2.02 KIPS |
|
|
Image Classification (I8)
|
99% |
13270
2.48 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2114
35.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2201
36.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2148
35.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
42060
50.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
91800
111.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
94650
114.6 IPS |
|
|
Object Detection (F32)
|
100% |
3299
246.3 IPS |
|
|
Object Detection (F16)
|
100% |
3826
285.6 IPS |
|
|
Object Detection (I8)
|
97% |
3205
239.2 IPS |
|
|
Face Detection (F32)
|
100% |
14737
175.2 IPS |
|
|
Face Detection (F16)
|
97% |
20387
242.4 IPS |
|
|
Face Detection (I8)
|
96% |
20453
243.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
24808
192.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
53052
411.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
53414
414.2 IPS |
|
|
Style Transfer (F32)
|
100% |
63915
84.1 IPS |
|
|
Style Transfer (F16)
|
100% |
143097
188.2 IPS |
|
|
Style Transfer (I8)
|
100% |
144082
189.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11904
425.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26675
952.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
31201
1.11 KIPS |
|
|
Text Classification (F32)
|
100% |
2073
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3593
5.16 KIPS |
|
|
Text Classification (I8)
|
96% |
3546
5.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1007
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2392
44.0 IPS |
|
|
Machine Translation (I8)
|
99% |
826
15.2 IPS |
