Mac Studio (2023)
Geekbench AI Score
4205
Single Precision Score
6817
Half Precision Score
5339
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ladapisti |
| Upload Date | October 31 2024 01:16 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
2294
426.5 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2667
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2971
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12951
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24383
28.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
19111
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.7 IPS |
|
|
Object Detection (HP)
|
97% |
2715
216.2 IPS |
|
|
Object Detection (Q)
|
94% |
2027
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6002
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3445
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6397
49.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12228
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8176
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25141
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39160
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29618
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5141
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4496
166.0 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4056
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4741
81.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6407
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6464
111.7 IPS |
