Mac Studio (2023)
Geekbench ML Score
8239
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 23 2024 08:13 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 3.48 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5575
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
5744
1.07 KIPS |
|
|
Image Classification (I8)
|
99% |
5078
950.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2216
37.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2307
38.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
2285
38.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
56494
68.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
59414
71.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
57762
69.9 IPS |
|
|
Object Detection (F32)
|
100% |
3393
253.3 IPS |
|
|
Object Detection (F16)
|
100% |
4139
309.0 IPS |
|
|
Object Detection (I8)
|
97% |
3450
257.6 IPS |
|
|
Face Detection (F32)
|
100% |
19321
229.7 IPS |
|
|
Face Detection (F16)
|
98% |
19371
230.3 IPS |
|
|
Face Detection (I8)
|
97% |
18485
219.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
27809
215.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
27819
215.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
27101
210.2 IPS |
|
|
Style Transfer (F32)
|
100% |
105463
138.7 IPS |
|
|
Style Transfer (F16)
|
100% |
115636
152.1 IPS |
|
|
Style Transfer (I8)
|
100% |
116074
152.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17181
613.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14920
532.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17124
611.6 IPS |
|
|
Text Classification (F32)
|
100% |
530
761.0 IPS |
|
|
Text Classification (F16)
|
100% |
556
799.4 IPS |
|
|
Text Classification (I8)
|
96% |
556
799.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1030
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1046
19.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1058
19.5 IPS |
