MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10354
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 22 2024 07:06 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 2.80 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% |
4882
913.5 IPS |
|
|
Image Classification (F16)
|
100% |
11342
2.12 KIPS |
|
|
Image Classification (I8)
|
99% |
12092
2.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1015
16.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1289
21.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1299
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
41103
49.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
91021
110.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
91331
110.6 IPS |
|
|
Object Detection (F32)
|
100% |
3432
256.2 IPS |
|
|
Object Detection (F16)
|
100% |
5373
401.1 IPS |
|
|
Object Detection (I8)
|
97% |
3068
229.0 IPS |
|
|
Face Detection (F32)
|
100% |
13402
159.3 IPS |
|
|
Face Detection (F16)
|
97% |
20807
247.4 IPS |
|
|
Face Detection (I8)
|
96% |
20689
246.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
24096
186.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
48805
378.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
51711
401.0 IPS |
|
|
Style Transfer (F32)
|
100% |
78357
103.1 IPS |
|
|
Style Transfer (F16)
|
100% |
145620
191.6 IPS |
|
|
Style Transfer (I8)
|
100% |
141797
186.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8734
311.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33734
1.20 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33257
1.19 KIPS |
|
|
Text Classification (F32)
|
100% |
2023
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3461
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3418
4.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
763
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2387
43.9 IPS |
|
|
Machine Translation (I8)
|
99% |
533
9.81 IPS |
