MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
13005
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 05 2024 02:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
6762
1.27 KIPS |
|
|
Image Classification (F16)
|
100% |
6007
1.12 KIPS |
|
|
Image Classification (I8)
|
99% |
5967
1.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2935
49.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3275
54.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
3311
55.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
83471
101.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
107176
129.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
108787
131.7 IPS |
|
|
Object Detection (F32)
|
100% |
5085
379.6 IPS |
|
|
Object Detection (F16)
|
100% |
4727
352.9 IPS |
|
|
Object Detection (I8)
|
97% |
3727
278.2 IPS |
|
|
Face Detection (F32)
|
100% |
24083
286.3 IPS |
|
|
Face Detection (F16)
|
97% |
22077
262.5 IPS |
|
|
Face Detection (I8)
|
96% |
21767
258.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
34735
269.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
51931
402.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
49479
383.7 IPS |
|
|
Style Transfer (F32)
|
100% |
161196
212.0 IPS |
|
|
Style Transfer (F16)
|
100% |
147804
194.4 IPS |
|
|
Style Transfer (I8)
|
100% |
151792
199.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10156
362.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
29568
1.06 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
28914
1.03 KIPS |
|
|
Text Classification (F32)
|
100% |
2501
3.59 KIPS |
|
|
Text Classification (F16)
|
100% |
4334
6.23 KIPS |
|
|
Text Classification (I8)
|
96% |
4343
6.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
1247
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1643
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1261
23.2 IPS |
