Mac Studio (2023)
Geekbench ML Score
8711
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 09:33 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.66 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1116
208.8 IPS |
|
|
Image Classification (F16)
|
100% |
7339
1.37 KIPS |
|
|
Image Classification (I8)
|
99% |
7851
1.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2306
38.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1692
28.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1701
28.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
121284
146.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
77669
94.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
79617
96.4 IPS |
|
|
Object Detection (F32)
|
100% |
3871
289.0 IPS |
|
|
Object Detection (F16)
|
100% |
3979
297.1 IPS |
|
|
Object Detection (I8)
|
97% |
3649
272.4 IPS |
|
|
Face Detection (F32)
|
100% |
24101
286.6 IPS |
|
|
Face Detection (F16)
|
97% |
11282
134.1 IPS |
|
|
Face Detection (I8)
|
96% |
11263
133.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
32622
253.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
41786
324.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
39773
308.4 IPS |
|
|
Style Transfer (F32)
|
100% |
199110
261.9 IPS |
|
|
Style Transfer (F16)
|
100% |
136911
180.1 IPS |
|
|
Style Transfer (I8)
|
100% |
136649
179.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20806
743.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17501
625.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17617
629.2 IPS |
|
|
Text Classification (F32)
|
100% |
566
813.2 IPS |
|
|
Text Classification (F16)
|
100% |
571
820.0 IPS |
|
|
Text Classification (I8)
|
96% |
570
818.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1018
18.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1139
21.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1046
19.3 IPS |
