MacBook Pro (16-inch, 2023)
Geekbench ML Score
8291
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 03:42 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.67 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% |
5834
1.09 KIPS |
|
|
Image Classification (F16)
|
100% |
6059
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
5289
989.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2279
38.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2273
38.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2289
38.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
73127
88.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
76598
92.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
73166
88.6 IPS |
|
|
Object Detection (F32)
|
100% |
3727
278.3 IPS |
|
|
Object Detection (F16)
|
100% |
3914
292.2 IPS |
|
|
Object Detection (I8)
|
97% |
3685
275.1 IPS |
|
|
Face Detection (F32)
|
100% |
20611
245.1 IPS |
|
|
Face Detection (F16)
|
98% |
21317
253.5 IPS |
|
|
Face Detection (I8)
|
97% |
20049
238.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
30836
239.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
31622
245.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
30671
237.9 IPS |
|
|
Style Transfer (F32)
|
100% |
107694
141.7 IPS |
|
|
Style Transfer (F16)
|
100% |
108846
143.2 IPS |
|
|
Style Transfer (I8)
|
100% |
106765
140.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12070
431.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12241
437.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11167
398.8 IPS |
|
|
Text Classification (F32)
|
100% |
535
768.7 IPS |
|
|
Text Classification (F16)
|
100% |
519
745.3 IPS |
|
|
Text Classification (I8)
|
96% |
562
807.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1006
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1002
18.4 IPS |
|
|
Machine Translation (I8)
|
99% |
866
15.9 IPS |
