Mac16,5
Geekbench ML Score
14444
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 22 2025 10:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9018
1.69 KIPS |
|
|
Image Classification (F16)
|
100% |
9174
1.72 KIPS |
|
|
Image Classification (I8)
|
99% |
9280
1.74 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3967
66.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3823
63.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
4013
67.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
97892
118.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
100850
122.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
100896
122.2 IPS |
|
|
Object Detection (F32)
|
100% |
5024
375.1 IPS |
|
|
Object Detection (F16)
|
100% |
6045
451.3 IPS |
|
|
Object Detection (I8)
|
97% |
5036
376.0 IPS |
|
|
Face Detection (F32)
|
100% |
30389
361.3 IPS |
|
|
Face Detection (F16)
|
98% |
32300
384.1 IPS |
|
|
Face Detection (I8)
|
97% |
32337
384.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
40126
311.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
43056
333.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
44124
342.2 IPS |
|
|
Style Transfer (F32)
|
100% |
151617
199.4 IPS |
|
|
Style Transfer (F16)
|
100% |
172555
227.0 IPS |
|
|
Style Transfer (I8)
|
100% |
187196
246.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19404
693.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11344
405.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16631
594.0 IPS |
|
|
Text Classification (F32)
|
100% |
2715
3.90 KIPS |
|
|
Text Classification (F16)
|
100% |
4880
7.01 KIPS |
|
|
Text Classification (I8)
|
96% |
4857
6.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
1469
27.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1451
26.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1460
26.9 IPS |
