MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
9131
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | August 15 2024 04:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6291
1.18 KIPS |
|
|
Image Classification (F16)
|
100% |
6715
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
6126
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2896
48.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2866
47.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2939
49.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
62262
75.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
65705
79.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
63650
77.1 IPS |
|
|
Object Detection (F32)
|
100% |
3893
290.7 IPS |
|
|
Object Detection (F16)
|
100% |
5180
386.7 IPS |
|
|
Object Detection (I8)
|
97% |
3965
296.0 IPS |
|
|
Face Detection (F32)
|
100% |
21848
259.8 IPS |
|
|
Face Detection (F16)
|
98% |
25971
308.8 IPS |
|
|
Face Detection (I8)
|
97% |
22817
271.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
32763
254.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
34295
266.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
32644
253.2 IPS |
|
|
Style Transfer (F32)
|
100% |
134109
176.4 IPS |
|
|
Style Transfer (F16)
|
100% |
140992
185.5 IPS |
|
|
Style Transfer (I8)
|
100% |
142769
187.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14531
518.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14028
501.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10157
362.8 IPS |
|
|
Text Classification (F32)
|
100% |
612
880.0 IPS |
|
|
Text Classification (F16)
|
100% |
307
441.9 IPS |
|
|
Text Classification (I8)
|
96% |
640
919.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1160
21.3 IPS |
|
|
Machine Translation (F16)
|
99% |
1168
21.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1151
21.2 IPS |
