Mac16,9
Geekbench ML Score
15084
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 02 2025 10:16 AM |
| Views | 7 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8983
1.68 KIPS |
|
|
Image Classification (F16)
|
100% |
9324
1.74 KIPS |
|
|
Image Classification (I8)
|
99% |
9390
1.76 KIPS |
|
|
Image Segmentation (F32)
|
100% |
4176
69.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4114
68.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
4324
72.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
94234
114.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
102249
123.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
102620
124.3 IPS |
|
|
Object Detection (F32)
|
100% |
3779
282.2 IPS |
|
|
Object Detection (F16)
|
100% |
6337
473.1 IPS |
|
|
Object Detection (I8)
|
97% |
3847
287.2 IPS |
|
|
Face Detection (F32)
|
100% |
28874
343.3 IPS |
|
|
Face Detection (F16)
|
98% |
34525
410.5 IPS |
|
|
Face Detection (I8)
|
97% |
33205
394.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
40901
317.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
46436
360.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
46107
357.6 IPS |
|
|
Style Transfer (F32)
|
100% |
197010
259.2 IPS |
|
|
Style Transfer (F16)
|
100% |
199613
262.6 IPS |
|
|
Style Transfer (I8)
|
100% |
214938
282.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15348
548.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15945
569.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15717
561.3 IPS |
|
|
Text Classification (F32)
|
100% |
2862
4.11 KIPS |
|
|
Text Classification (F16)
|
100% |
4706
6.76 KIPS |
|
|
Text Classification (I8)
|
96% |
4766
6.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
1896
34.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1963
36.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1895
34.9 IPS |
