MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
9847
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 07:46 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6974
1.30 KIPS |
|
|
Image Classification (F16)
|
100% |
6724
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
6973
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2732
45.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2445
40.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2451
40.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
85020
103.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
91124
110.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
91919
111.3 IPS |
|
|
Object Detection (F32)
|
100% |
3545
264.6 IPS |
|
|
Object Detection (F16)
|
100% |
3686
275.2 IPS |
|
|
Object Detection (I8)
|
97% |
3771
281.5 IPS |
|
|
Face Detection (F32)
|
100% |
24345
289.5 IPS |
|
|
Face Detection (F16)
|
97% |
11875
141.2 IPS |
|
|
Face Detection (I8)
|
96% |
12098
143.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
35345
274.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
30025
232.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
27682
214.7 IPS |
|
|
Style Transfer (F32)
|
100% |
113159
148.9 IPS |
|
|
Style Transfer (F16)
|
100% |
136675
179.8 IPS |
|
|
Style Transfer (I8)
|
100% |
127334
167.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8608
307.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15088
538.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14732
526.1 IPS |
|
|
Text Classification (F32)
|
100% |
481
691.4 IPS |
|
|
Text Classification (F16)
|
100% |
3012
4.33 KIPS |
|
|
Text Classification (I8)
|
96% |
2908
4.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
795
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3461
63.7 IPS |
|
|
Machine Translation (I8)
|
99% |
749
13.8 IPS |
