MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10425
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 26 2024 10:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5064f) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| 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% |
5393
1.01 KIPS |
|
|
Image Classification (F16)
|
100% |
7100
1.33 KIPS |
|
|
Image Classification (I8)
|
99% |
7741
1.45 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2002
33.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2073
34.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
2151
35.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
43090
52.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
95171
115.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
96929
117.4 IPS |
|
|
Object Detection (F32)
|
100% |
4380
327.0 IPS |
|
|
Object Detection (F16)
|
100% |
4408
329.1 IPS |
|
|
Object Detection (I8)
|
97% |
4088
305.2 IPS |
|
|
Face Detection (F32)
|
100% |
15261
181.5 IPS |
|
|
Face Detection (F16)
|
97% |
12803
152.2 IPS |
|
|
Face Detection (I8)
|
96% |
12870
153.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
26746
207.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
41215
319.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
40428
313.5 IPS |
|
|
Style Transfer (F32)
|
100% |
87424
115.0 IPS |
|
|
Style Transfer (F16)
|
100% |
146219
192.3 IPS |
|
|
Style Transfer (I8)
|
100% |
147855
194.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10178
363.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20399
728.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18396
657.0 IPS |
|
|
Text Classification (F32)
|
100% |
1549
2.23 KIPS |
|
|
Text Classification (F16)
|
100% |
3548
5.10 KIPS |
|
|
Text Classification (I8)
|
96% |
3308
4.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1031
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2900
53.4 IPS |
|
|
Machine Translation (I8)
|
99% |
955
17.6 IPS |
