MacBook Pro (14-inch, 2023)
Geekbench ML Score
8782
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 27 2024 08:51 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 3.48 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4870
911.3 IPS |
|
|
Image Classification (F16)
|
100% |
6798
1.27 KIPS |
|
|
Image Classification (I8)
|
99% |
7599
1.42 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2127
35.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1836
30.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1822
30.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
41007
49.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
77122
93.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
78697
95.3 IPS |
|
|
Object Detection (F32)
|
100% |
3251
242.7 IPS |
|
|
Object Detection (F16)
|
100% |
3712
277.1 IPS |
|
|
Object Detection (I8)
|
97% |
3113
232.4 IPS |
|
|
Face Detection (F32)
|
100% |
14779
175.7 IPS |
|
|
Face Detection (F16)
|
97% |
11046
131.3 IPS |
|
|
Face Detection (I8)
|
96% |
10995
130.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
23948
185.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
32489
252.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
35619
276.2 IPS |
|
|
Style Transfer (F32)
|
100% |
74603
98.1 IPS |
|
|
Style Transfer (F16)
|
100% |
135409
178.1 IPS |
|
|
Style Transfer (I8)
|
100% |
131083
172.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10291
367.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17352
619.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17292
617.5 IPS |
|
|
Text Classification (F32)
|
100% |
524
752.4 IPS |
|
|
Text Classification (F16)
|
100% |
2457
3.53 KIPS |
|
|
Text Classification (I8)
|
96% |
2478
3.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
957
17.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2361
43.5 IPS |
|
|
Machine Translation (I8)
|
99% |
829
15.2 IPS |
