MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
12909
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 10 2024 12:54 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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 | 4.05 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% |
6694
1.25 KIPS |
|
|
Image Classification (F16)
|
100% |
6039
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
6831
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3079
51.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3323
55.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
3309
55.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
83414
101.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
106826
129.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
108013
130.8 IPS |
|
|
Object Detection (F32)
|
100% |
5094
380.3 IPS |
|
|
Object Detection (F16)
|
100% |
4802
358.5 IPS |
|
|
Object Detection (I8)
|
97% |
3623
270.4 IPS |
|
|
Face Detection (F32)
|
100% |
23767
282.6 IPS |
|
|
Face Detection (F16)
|
97% |
22203
264.0 IPS |
|
|
Face Detection (I8)
|
96% |
22255
264.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
35457
275.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
47909
371.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
48995
380.0 IPS |
|
|
Style Transfer (F32)
|
100% |
152511
200.6 IPS |
|
|
Style Transfer (F16)
|
100% |
148003
194.7 IPS |
|
|
Style Transfer (I8)
|
100% |
150610
198.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10302
367.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
28286
1.01 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
25796
921.3 IPS |
|
|
Text Classification (F32)
|
100% |
2474
3.56 KIPS |
|
|
Text Classification (F16)
|
100% |
4201
6.04 KIPS |
|
|
Text Classification (I8)
|
96% |
4211
6.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1234
22.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1619
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1220
22.5 IPS |
