Mac Studio (2023)
Geekbench ML Score
9101
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:49 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 | 3.65 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5939
1.11 KIPS |
|
|
Image Classification (F16)
|
100% |
6049
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
5324
996.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2380
39.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2410
40.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2371
39.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
75101
90.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
78783
95.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
75701
91.7 IPS |
|
|
Object Detection (F32)
|
100% |
3681
274.8 IPS |
|
|
Object Detection (F16)
|
100% |
4411
329.3 IPS |
|
|
Object Detection (I8)
|
97% |
3735
278.8 IPS |
|
|
Face Detection (F32)
|
100% |
20579
244.7 IPS |
|
|
Face Detection (F16)
|
98% |
21565
256.4 IPS |
|
|
Face Detection (I8)
|
97% |
19462
231.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
30484
236.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
32240
250.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
30840
239.2 IPS |
|
|
Style Transfer (F32)
|
100% |
123641
162.6 IPS |
|
|
Style Transfer (F16)
|
100% |
135585
178.4 IPS |
|
|
Style Transfer (I8)
|
100% |
136946
180.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18435
658.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17800
635.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17206
614.5 IPS |
|
|
Text Classification (F32)
|
100% |
634
911.8 IPS |
|
|
Text Classification (F16)
|
100% |
599
860.7 IPS |
|
|
Text Classification (I8)
|
96% |
524
753.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1065
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1080
19.9 IPS |
