MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
12056
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 10 2024 07:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.02 GHz |
| Cluster 1 | 12 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6628
1.24 KIPS |
|
|
Image Classification (F16)
|
100% |
5661
1.06 KIPS |
|
|
Image Classification (I8)
|
99% |
6492
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2612
43.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2735
45.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2742
45.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
55615
67.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
105913
128.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
110090
133.3 IPS |
|
|
Object Detection (F32)
|
100% |
4839
361.2 IPS |
|
|
Object Detection (F16)
|
100% |
4877
364.1 IPS |
|
|
Object Detection (I8)
|
97% |
3602
268.9 IPS |
|
|
Face Detection (F32)
|
100% |
22287
265.0 IPS |
|
|
Face Detection (F16)
|
97% |
20321
241.6 IPS |
|
|
Face Detection (I8)
|
96% |
21123
251.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
34682
269.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
48315
374.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
48607
377.0 IPS |
|
|
Style Transfer (F32)
|
100% |
105034
138.2 IPS |
|
|
Style Transfer (F16)
|
100% |
149935
197.2 IPS |
|
|
Style Transfer (I8)
|
100% |
149669
196.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7713
275.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26052
930.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
27549
983.8 IPS |
|
|
Text Classification (F32)
|
100% |
2799
4.02 KIPS |
|
|
Text Classification (F16)
|
100% |
4355
6.26 KIPS |
|
|
Text Classification (I8)
|
96% |
4343
6.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
1116
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1552
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1114
20.5 IPS |
