MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
8399
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mrdbourke |
| Upload Date | December 14 2023 01:21 AM |
| Views | 27 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1.2 (Build 23B2091) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4133
773.4 IPS |
|
|
Image Classification (F16)
|
100% |
7381
1.38 KIPS |
|
|
Image Classification (I8)
|
99% |
8192
1.53 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1555
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2098
35.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2093
35.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23520
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
95107
115.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
96388
116.7 IPS |
|
|
Object Detection (F32)
|
100% |
3002
224.1 IPS |
|
|
Object Detection (F16)
|
100% |
5424
405.0 IPS |
|
|
Object Detection (I8)
|
97% |
2969
221.6 IPS |
|
|
Face Detection (F32)
|
100% |
10437
124.1 IPS |
|
|
Face Detection (F16)
|
97% |
14356
170.7 IPS |
|
|
Face Detection (I8)
|
96% |
14920
177.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
18331
142.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
38065
295.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
44757
347.1 IPS |
|
|
Style Transfer (F32)
|
100% |
49715
65.4 IPS |
|
|
Style Transfer (F16)
|
100% |
148563
195.4 IPS |
|
|
Style Transfer (I8)
|
100% |
146191
192.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8003
285.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20461
730.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20337
726.3 IPS |
|
|
Text Classification (F32)
|
100% |
737
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
782
1.12 KIPS |
|
|
Text Classification (I8)
|
96% |
925
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
926
17.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3084
56.8 IPS |
|
|
Machine Translation (I8)
|
99% |
786
14.5 IPS |
