Mac Studio
Geekbench ML Score
7966
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4095
766.3 IPS |
|
|
Image Classification (F16)
|
100% |
6533
1.22 KIPS |
|
|
Image Classification (I8)
|
99% |
7378
1.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1565
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1364
22.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1357
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
38568
46.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
63081
76.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
64068
77.6 IPS |
|
|
Object Detection (F32)
|
100% |
3152
235.3 IPS |
|
|
Object Detection (F16)
|
100% |
3926
293.1 IPS |
|
|
Object Detection (I8)
|
97% |
2936
219.2 IPS |
|
|
Face Detection (F32)
|
100% |
14469
172.0 IPS |
|
|
Face Detection (F16)
|
97% |
10648
126.6 IPS |
|
|
Face Detection (I8)
|
96% |
10759
127.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
22212
172.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
31118
241.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
36093
279.9 IPS |
|
|
Style Transfer (F32)
|
100% |
66070
86.9 IPS |
|
|
Style Transfer (F16)
|
100% |
109950
144.6 IPS |
|
|
Style Transfer (I8)
|
100% |
113191
148.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11324
404.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15554
555.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16018
572.0 IPS |
|
|
Text Classification (F32)
|
100% |
974
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
1996
2.87 KIPS |
|
|
Text Classification (I8)
|
96% |
2042
2.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
731
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1719
31.6 IPS |
|
|
Machine Translation (I8)
|
99% |
704
13.0 IPS |
