Mac Studio (2023)
Geekbench ML Score
10035
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.66 GHz |
| Cluster 1 | 8 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% |
5975
1.12 KIPS |
|
|
Image Classification (F16)
|
100% |
7437
1.39 KIPS |
|
|
Image Classification (I8)
|
99% |
8383
1.57 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2414
40.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1916
32.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1888
31.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
75639
91.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
79383
96.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
80262
97.2 IPS |
|
|
Object Detection (F32)
|
100% |
3671
274.0 IPS |
|
|
Object Detection (F16)
|
100% |
3976
296.9 IPS |
|
|
Object Detection (I8)
|
97% |
3726
278.2 IPS |
|
|
Face Detection (F32)
|
100% |
20333
241.8 IPS |
|
|
Face Detection (F16)
|
97% |
11439
136.0 IPS |
|
|
Face Detection (I8)
|
96% |
10803
128.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
31821
246.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
36621
284.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
38478
298.4 IPS |
|
|
Style Transfer (F32)
|
100% |
122053
160.6 IPS |
|
|
Style Transfer (F16)
|
100% |
135814
178.7 IPS |
|
|
Style Transfer (I8)
|
100% |
139585
183.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14794
528.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18884
674.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17718
632.8 IPS |
|
|
Text Classification (F32)
|
100% |
459
659.3 IPS |
|
|
Text Classification (F16)
|
100% |
2556
3.67 KIPS |
|
|
Text Classification (I8)
|
96% |
2482
3.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
1080
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2987
55.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1077
19.8 IPS |
