MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10280
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 26 2024 04:57 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 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% |
5014
938.2 IPS |
|
|
Image Classification (F16)
|
100% |
7147
1.34 KIPS |
|
|
Image Classification (I8)
|
99% |
7940
1.49 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2162
36.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2168
36.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2218
37.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
33051
40.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
96080
116.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
97993
118.7 IPS |
|
|
Object Detection (F32)
|
100% |
3432
256.2 IPS |
|
|
Object Detection (F16)
|
100% |
4950
369.6 IPS |
|
|
Object Detection (I8)
|
97% |
3742
279.4 IPS |
|
|
Face Detection (F32)
|
100% |
14420
171.5 IPS |
|
|
Face Detection (F16)
|
97% |
12910
153.5 IPS |
|
|
Face Detection (I8)
|
96% |
12821
152.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
22149
171.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
42196
327.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
42319
328.2 IPS |
|
|
Style Transfer (F32)
|
100% |
74368
97.8 IPS |
|
|
Style Transfer (F16)
|
100% |
148985
196.0 IPS |
|
|
Style Transfer (I8)
|
100% |
149558
196.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11723
418.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20795
742.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19506
696.6 IPS |
|
|
Text Classification (F32)
|
100% |
1250
1.80 KIPS |
|
|
Text Classification (F16)
|
100% |
3499
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3691
5.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1087
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3063
56.4 IPS |
|
|
Machine Translation (I8)
|
99% |
980
18.0 IPS |
