MacBook Pro (14-inch, 2023)
Geekbench ML Score
9682
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | aebrownleeiv |
| Upload Date | August 16 2024 06:40 PM |
| Views | 3 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5752
1.08 KIPS |
|
|
Image Classification (F16)
|
100% |
7176
1.34 KIPS |
|
|
Image Classification (I8)
|
99% |
8045
1.51 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2218
37.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1899
31.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1895
31.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
73049
88.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
80651
97.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
85552
103.6 IPS |
|
|
Object Detection (F32)
|
100% |
3297
246.1 IPS |
|
|
Object Detection (F16)
|
100% |
3507
261.8 IPS |
|
|
Object Detection (I8)
|
97% |
3577
267.0 IPS |
|
|
Face Detection (F32)
|
100% |
20142
239.5 IPS |
|
|
Face Detection (F16)
|
97% |
11191
133.1 IPS |
|
|
Face Detection (I8)
|
96% |
11096
131.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
30006
232.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
29517
228.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
34848
270.2 IPS |
|
|
Style Transfer (F32)
|
100% |
119145
156.7 IPS |
|
|
Style Transfer (F16)
|
100% |
130489
171.6 IPS |
|
|
Style Transfer (I8)
|
100% |
138094
181.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13254
473.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17563
627.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18060
645.0 IPS |
|
|
Text Classification (F32)
|
100% |
875
1.26 KIPS |
|
|
Text Classification (F16)
|
100% |
3022
4.34 KIPS |
|
|
Text Classification (I8)
|
96% |
3114
4.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
920
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1542
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
844
15.5 IPS |
