MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
11316
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:55 PM |
| Views | 1 |
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 | 4.05 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7423
1.39 KIPS |
|
|
Image Classification (F16)
|
100% |
6381
1.19 KIPS |
|
|
Image Classification (I8)
|
99% |
6459
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3154
52.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2580
43.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2606
43.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
84881
102.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
89065
107.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
90480
109.6 IPS |
|
|
Object Detection (F32)
|
100% |
3731
278.6 IPS |
|
|
Object Detection (F16)
|
100% |
3962
295.8 IPS |
|
|
Object Detection (I8)
|
97% |
5056
377.5 IPS |
|
|
Face Detection (F32)
|
100% |
26156
311.0 IPS |
|
|
Face Detection (F16)
|
97% |
12124
144.2 IPS |
|
|
Face Detection (I8)
|
96% |
12084
143.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
35962
278.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
36200
280.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
38481
298.4 IPS |
|
|
Style Transfer (F32)
|
100% |
157977
207.8 IPS |
|
|
Style Transfer (F16)
|
100% |
141569
186.2 IPS |
|
|
Style Transfer (I8)
|
100% |
142503
187.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16569
591.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16452
587.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17246
615.9 IPS |
|
|
Text Classification (F32)
|
100% |
1220
1.75 KIPS |
|
|
Text Classification (F16)
|
100% |
2874
4.13 KIPS |
|
|
Text Classification (I8)
|
96% |
2600
3.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
1142
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3840
70.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1073
19.7 IPS |
