MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
7540
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 25 2024 09:04 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5507
1.03 KIPS |
|
|
Image Classification (F16)
|
100% |
5669
1.06 KIPS |
|
|
Image Classification (I8)
|
99% |
5263
984.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2077
34.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2155
36.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2083
34.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
42790
51.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
45706
55.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
44461
53.8 IPS |
|
|
Object Detection (F32)
|
100% |
4315
322.1 IPS |
|
|
Object Detection (F16)
|
100% |
4489
335.1 IPS |
|
|
Object Detection (I8)
|
97% |
4055
302.7 IPS |
|
|
Face Detection (F32)
|
100% |
14912
177.3 IPS |
|
|
Face Detection (F16)
|
98% |
18071
214.9 IPS |
|
|
Face Detection (I8)
|
97% |
17772
211.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
26472
205.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
29175
226.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
27746
215.2 IPS |
|
|
Style Transfer (F32)
|
100% |
88777
116.8 IPS |
|
|
Style Transfer (F16)
|
100% |
82847
109.0 IPS |
|
|
Style Transfer (I8)
|
100% |
89325
117.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8489
303.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7229
258.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9268
331.0 IPS |
|
|
Text Classification (F32)
|
100% |
1324
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
859
1.23 KIPS |
|
|
Text Classification (I8)
|
96% |
872
1.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
801
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
842
15.5 IPS |
|
|
Machine Translation (I8)
|
99% |
781
14.4 IPS |
