MacBook Pro (14-inch, 2023)
Geekbench ML Score
8150
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | aebrownleeiv |
| Upload Date | August 16 2024 06:38 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| 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 | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5965
1.12 KIPS |
|
|
Image Classification (F16)
|
100% |
6029
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
5357
1.00 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2187
36.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2149
35.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2193
36.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
73229
88.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
75660
91.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
73085
88.5 IPS |
|
|
Object Detection (F32)
|
100% |
3649
272.4 IPS |
|
|
Object Detection (F16)
|
100% |
3875
289.3 IPS |
|
|
Object Detection (I8)
|
97% |
3622
270.4 IPS |
|
|
Face Detection (F32)
|
100% |
18549
220.6 IPS |
|
|
Face Detection (F16)
|
98% |
20851
247.9 IPS |
|
|
Face Detection (I8)
|
97% |
19649
233.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
30942
240.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
31566
244.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
30661
237.8 IPS |
|
|
Style Transfer (F32)
|
100% |
119500
157.2 IPS |
|
|
Style Transfer (F16)
|
100% |
130879
172.2 IPS |
|
|
Style Transfer (I8)
|
100% |
132913
174.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11173
399.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11860
423.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8123
290.1 IPS |
|
|
Text Classification (F32)
|
100% |
470
675.1 IPS |
|
|
Text Classification (F16)
|
100% |
564
810.0 IPS |
|
|
Text Classification (I8)
|
96% |
532
764.1 IPS |
|
|
Machine Translation (F32)
|
100% |
932
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
935
17.2 IPS |
|
|
Machine Translation (I8)
|
99% |
839
15.4 IPS |
