Mac16,9
Geekbench ML Score
16525
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 06:29 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 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% |
9031
1.69 KIPS |
|
|
Image Classification (F16)
|
100% |
14656
2.74 KIPS |
|
|
Image Classification (I8)
|
99% |
16401
3.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
4261
71.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4205
70.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
4143
69.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
95191
115.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
107541
130.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
109164
132.2 IPS |
|
|
Object Detection (F32)
|
100% |
5791
432.4 IPS |
|
|
Object Detection (F16)
|
100% |
7483
558.6 IPS |
|
|
Object Detection (I8)
|
97% |
3651
272.6 IPS |
|
|
Face Detection (F32)
|
100% |
31707
377.0 IPS |
|
|
Face Detection (F16)
|
97% |
23986
285.2 IPS |
|
|
Face Detection (I8)
|
96% |
23880
283.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
43294
335.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
55808
432.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
52700
408.7 IPS |
|
|
Style Transfer (F32)
|
100% |
182794
240.5 IPS |
|
|
Style Transfer (F16)
|
100% |
159987
210.4 IPS |
|
|
Style Transfer (I8)
|
100% |
158993
209.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14161
505.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
40281
1.44 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
38420
1.37 KIPS |
|
|
Text Classification (F32)
|
100% |
2860
4.11 KIPS |
|
|
Text Classification (F16)
|
100% |
4732
6.80 KIPS |
|
|
Text Classification (I8)
|
96% |
4708
6.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
1879
34.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2315
42.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1882
34.6 IPS |
