Mac Studio (2023)
Geekbench ML Score
9720
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 29 2024 08:18 AM |
| Views | 51 |
| Notes | Mac Studio (2023)/M2 Max/12Core CPU/30CoreGPU/32GB/512GB SSD |
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% |
5516
1.03 KIPS |
|
|
Image Classification (F16)
|
100% |
7037
1.32 KIPS |
|
|
Image Classification (I8)
|
99% |
7797
1.46 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2427
40.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1933
32.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1936
32.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
56698
68.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
78715
95.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
79460
96.2 IPS |
|
|
Object Detection (F32)
|
100% |
3513
262.3 IPS |
|
|
Object Detection (F16)
|
100% |
4224
315.3 IPS |
|
|
Object Detection (I8)
|
97% |
3868
288.8 IPS |
|
|
Face Detection (F32)
|
100% |
19324
229.8 IPS |
|
|
Face Detection (F16)
|
97% |
10755
127.9 IPS |
|
|
Face Detection (I8)
|
96% |
11091
131.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
26628
206.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
36248
281.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
36292
281.4 IPS |
|
|
Style Transfer (F32)
|
100% |
105467
138.7 IPS |
|
|
Style Transfer (F16)
|
100% |
135689
178.5 IPS |
|
|
Style Transfer (I8)
|
100% |
129096
169.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16047
573.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17946
640.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17868
638.1 IPS |
|
|
Text Classification (F32)
|
100% |
486
698.8 IPS |
|
|
Text Classification (F16)
|
100% |
2681
3.85 KIPS |
|
|
Text Classification (I8)
|
96% |
2450
3.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
1036
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2878
53.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1046
19.3 IPS |
