Mac16,9
Geekbench ML Score
6569
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 02 2025 10:14 AM |
| Views | 6 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2175
407.0 IPS |
|
|
Image Classification (F16)
|
100% |
3109
581.7 IPS |
|
|
Image Classification (I8)
|
99% |
3109
581.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1770
29.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2290
38.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2305
38.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
18443
22.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
33404
40.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
33385
40.4 IPS |
|
|
Object Detection (F32)
|
100% |
2474
184.7 IPS |
|
|
Object Detection (F16)
|
100% |
3389
253.0 IPS |
|
|
Object Detection (I8)
|
97% |
2440
182.1 IPS |
|
|
Face Detection (F32)
|
100% |
5206
61.9 IPS |
|
|
Face Detection (F16)
|
97% |
8474
100.8 IPS |
|
|
Face Detection (I8)
|
96% |
8438
100.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8897
69.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
15325
118.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
15144
117.4 IPS |
|
|
Style Transfer (F32)
|
100% |
30865
40.6 IPS |
|
|
Style Transfer (F16)
|
100% |
56895
74.8 IPS |
|
|
Style Transfer (I8)
|
100% |
57163
75.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7235
258.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9905
353.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9877
352.7 IPS |
|
|
Text Classification (F32)
|
100% |
2843
4.09 KIPS |
|
|
Text Classification (F16)
|
100% |
4792
6.89 KIPS |
|
|
Text Classification (I8)
|
96% |
4761
6.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
2177
40.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2408
44.3 IPS |
|
|
Machine Translation (I8)
|
99% |
2185
40.2 IPS |
