MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
11173
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | October 14 2024 10:20 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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% |
3895
728.9 IPS |
|
|
Image Classification (F16)
|
100% |
12732
2.38 KIPS |
|
|
Image Classification (I8)
|
99% |
14778
2.77 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1554
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2587
43.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2554
42.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
23468
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
109023
132.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
110531
133.8 IPS |
|
|
Object Detection (F32)
|
100% |
3276
244.6 IPS |
|
|
Object Detection (F16)
|
100% |
7170
535.3 IPS |
|
|
Object Detection (I8)
|
97% |
3148
235.0 IPS |
|
|
Face Detection (F32)
|
100% |
10420
123.9 IPS |
|
|
Face Detection (F16)
|
97% |
21705
258.1 IPS |
|
|
Face Detection (I8)
|
96% |
21583
256.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
17800
138.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
58011
449.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
62279
483.0 IPS |
|
|
Style Transfer (F32)
|
100% |
49101
64.6 IPS |
|
|
Style Transfer (F16)
|
100% |
159292
209.5 IPS |
|
|
Style Transfer (I8)
|
100% |
158918
209.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7031
251.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
41034
1.47 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
38102
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
2624
3.77 KIPS |
|
|
Text Classification (F16)
|
100% |
4593
6.60 KIPS |
|
|
Text Classification (I8)
|
96% |
4532
6.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
805
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1634
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
576
10.6 IPS |
