MacBook Pro (14-inch, 2023)
Geekbench ML Score
10841
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 03:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.42 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4581
857.2 IPS |
|
|
Image Classification (F16)
|
100% |
10948
2.05 KIPS |
|
|
Image Classification (I8)
|
99% |
11916
2.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1917
32.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2003
33.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2028
33.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
41310
50.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
93994
113.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
94951
115.0 IPS |
|
|
Object Detection (F32)
|
100% |
3194
238.5 IPS |
|
|
Object Detection (F16)
|
100% |
4347
324.5 IPS |
|
|
Object Detection (I8)
|
97% |
3101
231.5 IPS |
|
|
Face Detection (F32)
|
100% |
13838
164.5 IPS |
|
|
Face Detection (F16)
|
97% |
19370
230.3 IPS |
|
|
Face Detection (I8)
|
96% |
19758
234.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
24457
189.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
49582
384.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
51703
401.0 IPS |
|
|
Style Transfer (F32)
|
100% |
74592
98.1 IPS |
|
|
Style Transfer (F16)
|
100% |
138866
182.7 IPS |
|
|
Style Transfer (I8)
|
100% |
140741
185.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7944
283.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
28132
1.00 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32345
1.16 KIPS |
|
|
Text Classification (F32)
|
100% |
2065
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3520
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3479
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
953
17.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2278
41.9 IPS |
|
|
Machine Translation (I8)
|
99% |
796
14.7 IPS |
