Mac16,11
Geekbench ML Score
14866
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 06:59 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6490
1.21 KIPS |
|
|
Image Classification (F16)
|
100% |
15679
2.93 KIPS |
|
|
Image Classification (I8)
|
99% |
16838
3.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2874
48.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3766
62.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
3560
59.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
52518
63.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
111276
134.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
112694
136.5 IPS |
|
|
Object Detection (F32)
|
100% |
4564
340.7 IPS |
|
|
Object Detection (F16)
|
100% |
8026
599.2 IPS |
|
|
Object Detection (I8)
|
97% |
4367
326.0 IPS |
|
|
Face Detection (F32)
|
100% |
20577
244.7 IPS |
|
|
Face Detection (F16)
|
97% |
24688
293.5 IPS |
|
|
Face Detection (I8)
|
96% |
24481
291.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
30921
239.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
59906
464.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
58905
456.8 IPS |
|
|
Style Transfer (F32)
|
100% |
111728
147.0 IPS |
|
|
Style Transfer (F16)
|
100% |
163139
214.6 IPS |
|
|
Style Transfer (I8)
|
100% |
160724
211.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13353
476.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
40088
1.43 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
38733
1.38 KIPS |
|
|
Text Classification (F32)
|
100% |
2690
3.87 KIPS |
|
|
Text Classification (F16)
|
100% |
4752
6.83 KIPS |
|
|
Text Classification (I8)
|
96% |
4754
6.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1342
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2399
44.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1307
24.1 IPS |
