MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
12502
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | agentsmurf |
| Upload Date | August 15 2024 07:20 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.92 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5924
1.11 KIPS |
|
|
Image Classification (F16)
|
100% |
11464
2.15 KIPS |
|
|
Image Classification (I8)
|
99% |
7045
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2301
38.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2924
48.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2907
48.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
48601
58.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
106910
129.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
109013
132.0 IPS |
|
|
Object Detection (F32)
|
100% |
4045
302.0 IPS |
|
|
Object Detection (F16)
|
100% |
4494
335.5 IPS |
|
|
Object Detection (I8)
|
97% |
3709
276.9 IPS |
|
|
Face Detection (F32)
|
100% |
23394
278.2 IPS |
|
|
Face Detection (F16)
|
97% |
22246
264.5 IPS |
|
|
Face Detection (I8)
|
96% |
22390
266.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
34448
267.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
50075
388.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
47233
366.3 IPS |
|
|
Style Transfer (F32)
|
100% |
108637
142.9 IPS |
|
|
Style Transfer (F16)
|
100% |
148758
195.7 IPS |
|
|
Style Transfer (I8)
|
100% |
145279
191.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14353
512.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23695
846.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
24381
870.7 IPS |
|
|
Text Classification (F32)
|
100% |
2445
3.51 KIPS |
|
|
Text Classification (F16)
|
100% |
4263
6.13 KIPS |
|
|
Text Classification (I8)
|
96% |
4228
6.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
1064
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3592
66.1 IPS |
|
|
Machine Translation (I8)
|
99% |
731
13.5 IPS |
