Mac Studio (2023)
Geekbench ML Score
9740
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 09 2024 02:26 AM |
| Views | 3 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5572
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
7251
1.36 KIPS |
|
|
Image Classification (I8)
|
99% |
7943
1.49 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2361
39.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1912
31.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1917
32.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
56996
69.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
78139
94.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
82296
99.7 IPS |
|
|
Object Detection (F32)
|
100% |
4039
301.6 IPS |
|
|
Object Detection (F16)
|
100% |
3784
282.5 IPS |
|
|
Object Detection (I8)
|
97% |
3963
295.8 IPS |
|
|
Face Detection (F32)
|
100% |
18921
225.0 IPS |
|
|
Face Detection (F16)
|
97% |
11098
132.0 IPS |
|
|
Face Detection (I8)
|
96% |
11111
132.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
27352
212.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
37902
293.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
35468
275.1 IPS |
|
|
Style Transfer (F32)
|
100% |
105740
139.1 IPS |
|
|
Style Transfer (F16)
|
100% |
134802
177.3 IPS |
|
|
Style Transfer (I8)
|
100% |
130562
171.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14440
515.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16367
584.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18648
666.0 IPS |
|
|
Text Classification (F32)
|
100% |
469
673.7 IPS |
|
|
Text Classification (F16)
|
100% |
2881
4.14 KIPS |
|
|
Text Classification (I8)
|
96% |
2788
4.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1020
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2643
48.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1032
19.0 IPS |
