MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
11080
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 07:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7033
1.32 KIPS |
|
|
Image Classification (F16)
|
100% |
6699
1.25 KIPS |
|
|
Image Classification (I8)
|
99% |
6624
1.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3096
51.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2600
43.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2550
42.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
84411
102.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
88333
107.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
90328
109.4 IPS |
|
|
Object Detection (F32)
|
100% |
3789
282.9 IPS |
|
|
Object Detection (F16)
|
100% |
4192
312.9 IPS |
|
|
Object Detection (I8)
|
97% |
5120
382.3 IPS |
|
|
Face Detection (F32)
|
100% |
23761
282.5 IPS |
|
|
Face Detection (F16)
|
97% |
12120
144.1 IPS |
|
|
Face Detection (I8)
|
96% |
12176
144.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
35523
275.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
37247
288.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
38758
300.6 IPS |
|
|
Style Transfer (F32)
|
100% |
163275
214.8 IPS |
|
|
Style Transfer (F16)
|
100% |
142811
187.9 IPS |
|
|
Style Transfer (I8)
|
100% |
143291
188.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10490
374.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18205
650.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17372
620.4 IPS |
|
|
Text Classification (F32)
|
100% |
811
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2984
4.29 KIPS |
|
|
Text Classification (I8)
|
96% |
3037
4.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1143
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3443
63.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1075
19.8 IPS |
