MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9240
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 10 2024 01:28 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| 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 | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6356
1.19 KIPS |
|
|
Image Classification (F16)
|
100% |
6810
1.27 KIPS |
|
|
Image Classification (I8)
|
99% |
7096
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2896
48.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2521
42.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2519
42.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
62435
75.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
92823
112.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
94246
114.1 IPS |
|
|
Object Detection (F32)
|
100% |
4996
373.0 IPS |
|
|
Object Detection (F16)
|
100% |
4181
312.1 IPS |
|
|
Object Detection (I8)
|
97% |
4735
353.5 IPS |
|
|
Face Detection (F32)
|
100% |
21402
254.5 IPS |
|
|
Face Detection (F16)
|
97% |
12007
142.8 IPS |
|
|
Face Detection (I8)
|
96% |
12017
142.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
30602
237.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
38583
299.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
39150
303.6 IPS |
|
|
Style Transfer (F32)
|
100% |
126156
165.9 IPS |
|
|
Style Transfer (F16)
|
100% |
144373
189.9 IPS |
|
|
Style Transfer (I8)
|
100% |
138632
182.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10882
388.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17653
630.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17952
641.1 IPS |
|
|
Text Classification (F32)
|
100% |
431
619.7 IPS |
|
|
Text Classification (F16)
|
100% |
603
866.7 IPS |
|
|
Text Classification (I8)
|
96% |
603
866.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1121
20.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1197
22.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1171
21.5 IPS |
