MacBook Pro (14-inch, 2023)
Geekbench ML Score
6980
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 11:38 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.47 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4875
912.2 IPS |
|
|
Image Classification (F16)
|
100% |
5065
947.8 IPS |
|
|
Image Classification (I8)
|
99% |
4435
830.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2087
34.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2111
35.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2100
35.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
41738
50.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
43593
52.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
42555
51.5 IPS |
|
|
Object Detection (F32)
|
100% |
3229
241.1 IPS |
|
|
Object Detection (F16)
|
100% |
3308
247.0 IPS |
|
|
Object Detection (I8)
|
97% |
3169
236.6 IPS |
|
|
Face Detection (F32)
|
100% |
14931
177.5 IPS |
|
|
Face Detection (F16)
|
98% |
15866
188.7 IPS |
|
|
Face Detection (I8)
|
97% |
14963
177.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
24549
190.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
25735
199.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
23899
185.3 IPS |
|
|
Style Transfer (F32)
|
100% |
75738
99.6 IPS |
|
|
Style Transfer (F16)
|
100% |
78524
103.3 IPS |
|
|
Style Transfer (I8)
|
100% |
80884
106.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11469
409.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12999
464.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
12564
448.7 IPS |
|
|
Text Classification (F32)
|
100% |
577
828.8 IPS |
|
|
Text Classification (F16)
|
100% |
663
953.3 IPS |
|
|
Text Classification (I8)
|
96% |
534
768.0 IPS |
|
|
Machine Translation (F32)
|
100% |
957
17.6 IPS |
|
|
Machine Translation (F16)
|
100% |
933
17.2 IPS |
|
|
Machine Translation (I8)
|
99% |
887
16.3 IPS |
