MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10235
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:42 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.02 GHz |
| Cluster 1 | 12 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 | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7001
1.31 KIPS |
|
|
Image Classification (F16)
|
100% |
7443
1.39 KIPS |
|
|
Image Classification (I8)
|
99% |
6705
1.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3022
50.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3041
50.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
3069
51.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
85587
103.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
87761
106.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
86229
104.4 IPS |
|
|
Object Detection (F32)
|
100% |
5217
389.5 IPS |
|
|
Object Detection (F16)
|
100% |
5486
409.6 IPS |
|
|
Object Detection (I8)
|
97% |
5232
390.6 IPS |
|
|
Face Detection (F32)
|
100% |
24532
291.7 IPS |
|
|
Face Detection (F16)
|
98% |
27410
325.9 IPS |
|
|
Face Detection (I8)
|
97% |
25065
298.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
36781
285.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
39717
308.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
37795
293.1 IPS |
|
|
Style Transfer (F32)
|
100% |
167276
220.0 IPS |
|
|
Style Transfer (F16)
|
100% |
177035
232.9 IPS |
|
|
Style Transfer (I8)
|
100% |
172161
226.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9829
351.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9766
348.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10240
365.7 IPS |
|
|
Text Classification (F32)
|
100% |
672
965.6 IPS |
|
|
Text Classification (F16)
|
100% |
753
1.08 KIPS |
|
|
Text Classification (I8)
|
96% |
748
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1080
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1084
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1017
18.7 IPS |
