MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
9691
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | August 15 2024 04:55 PM |
| Views | 3 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6315
1.18 KIPS |
|
|
Image Classification (F16)
|
100% |
6566
1.23 KIPS |
|
|
Image Classification (I8)
|
99% |
6732
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2846
47.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2454
41.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2516
42.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
62487
75.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
89225
108.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
89236
108.1 IPS |
|
|
Object Detection (F32)
|
100% |
4884
364.6 IPS |
|
|
Object Detection (F16)
|
100% |
4302
321.2 IPS |
|
|
Object Detection (I8)
|
97% |
4771
356.2 IPS |
|
|
Face Detection (F32)
|
100% |
21133
251.3 IPS |
|
|
Face Detection (F16)
|
97% |
12108
144.0 IPS |
|
|
Face Detection (I8)
|
96% |
12068
143.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
30851
239.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
36668
284.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
34305
266.0 IPS |
|
|
Style Transfer (F32)
|
100% |
127526
167.8 IPS |
|
|
Style Transfer (F16)
|
100% |
140465
184.8 IPS |
|
|
Style Transfer (I8)
|
100% |
138621
182.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14099
503.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16835
601.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16535
590.5 IPS |
|
|
Text Classification (F32)
|
100% |
1304
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
876
1.26 KIPS |
|
|
Text Classification (I8)
|
96% |
723
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1170
21.5 IPS |
|
|
Machine Translation (F16)
|
99% |
1175
21.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1206
22.2 IPS |
