MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
12926
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 24 2024 07:29 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5235
979.6 IPS |
|
|
Image Classification (F16)
|
100% |
12242
2.29 KIPS |
|
|
Image Classification (I8)
|
99% |
13340
2.50 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2126
35.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2626
43.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2554
42.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
42381
51.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
108491
131.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
109949
133.1 IPS |
|
|
Object Detection (F32)
|
100% |
3530
263.5 IPS |
|
|
Object Detection (F16)
|
100% |
6383
476.5 IPS |
|
|
Object Detection (I8)
|
97% |
4094
305.6 IPS |
|
|
Face Detection (F32)
|
100% |
14779
175.7 IPS |
|
|
Face Detection (F16)
|
97% |
23089
274.5 IPS |
|
|
Face Detection (I8)
|
96% |
23100
274.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
26496
205.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
50975
395.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
51940
402.8 IPS |
|
|
Style Transfer (F32)
|
100% |
87602
115.2 IPS |
|
|
Style Transfer (F16)
|
100% |
159220
209.4 IPS |
|
|
Style Transfer (I8)
|
100% |
160427
211.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10538
376.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
39476
1.41 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
38230
1.37 KIPS |
|
|
Text Classification (F32)
|
100% |
2561
3.68 KIPS |
|
|
Text Classification (F16)
|
100% |
4460
6.41 KIPS |
|
|
Text Classification (I8)
|
96% |
4395
6.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
1149
21.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3014
55.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1137
20.9 IPS |
