MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
11944
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | tifreitas |
| Upload Date | September 14 2024 09:07 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
3996
747.7 IPS |
|
|
Image Classification (F16)
|
100% |
14331
2.68 KIPS |
|
|
Image Classification (I8)
|
99% |
15486
2.90 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1640
27.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2536
42.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2513
42.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23830
28.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
109438
132.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
111232
134.7 IPS |
|
|
Object Detection (F32)
|
100% |
3360
250.8 IPS |
|
|
Object Detection (F16)
|
100% |
7086
529.0 IPS |
|
|
Object Detection (I8)
|
97% |
3059
228.3 IPS |
|
|
Face Detection (F32)
|
100% |
10371
123.3 IPS |
|
|
Face Detection (F16)
|
97% |
21822
259.5 IPS |
|
|
Face Detection (I8)
|
96% |
22053
262.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
18170
140.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
59995
465.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
56246
436.2 IPS |
|
|
Style Transfer (F32)
|
100% |
49911
65.7 IPS |
|
|
Style Transfer (F16)
|
100% |
159520
209.8 IPS |
|
|
Style Transfer (I8)
|
100% |
158051
207.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8840
315.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
39384
1.41 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
40675
1.45 KIPS |
|
|
Text Classification (F32)
|
100% |
2668
3.83 KIPS |
|
|
Text Classification (F16)
|
100% |
4733
6.80 KIPS |
|
|
Text Classification (I8)
|
96% |
4763
6.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
1014
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3353
61.7 IPS |
|
|
Machine Translation (I8)
|
99% |
945
17.4 IPS |
