MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9105
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 28 2024 04:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 10 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6289
1.18 KIPS |
|
|
Image Classification (F16)
|
100% |
6701
1.25 KIPS |
|
|
Image Classification (I8)
|
99% |
6809
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2916
48.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2536
42.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2521
42.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
62029
75.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
93689
113.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
94460
114.4 IPS |
|
|
Object Detection (F32)
|
100% |
4460
333.0 IPS |
|
|
Object Detection (F16)
|
100% |
3858
288.1 IPS |
|
|
Object Detection (I8)
|
97% |
4023
300.3 IPS |
|
|
Face Detection (F32)
|
100% |
21154
251.5 IPS |
|
|
Face Detection (F16)
|
97% |
12121
144.1 IPS |
|
|
Face Detection (I8)
|
96% |
12089
143.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
30975
240.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
37938
294.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
38622
299.5 IPS |
|
|
Style Transfer (F32)
|
100% |
128934
169.6 IPS |
|
|
Style Transfer (F16)
|
100% |
141261
185.8 IPS |
|
|
Style Transfer (I8)
|
100% |
143787
189.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10515
375.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17464
623.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18254
651.9 IPS |
|
|
Text Classification (F32)
|
100% |
431
618.9 IPS |
|
|
Text Classification (F16)
|
100% |
615
884.1 IPS |
|
|
Text Classification (I8)
|
96% |
614
882.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1140
21.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1179
21.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1095
20.2 IPS |
