Mac Studio
Geekbench AI Score
11359
Single Precision Score
12351
Half Precision Score
11276
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | SojW |
| Upload Date | January 27 2025 01:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5226
971.9 IPS |
|
|
Image Classification (HP)
|
100% |
5249
976.2 IPS |
|
|
Image Classification (Q)
|
97% |
4564
851.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10213
165.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10284
166.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10448
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
57052
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
60458
70.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
55457
65.0 IPS |
|
|
Object Detection (SP)
|
100% |
4918
390.1 IPS |
|
|
Object Detection (HP)
|
100% |
5330
422.8 IPS |
|
|
Object Detection (Q)
|
91% |
4782
382.1 IPS |
|
|
Face Detection (SP)
|
100% |
21202
251.9 IPS |
|
|
Face Detection (HP)
|
100% |
20948
248.9 IPS |
|
|
Face Detection (Q)
|
100% |
16287
193.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26353
203.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27388
211.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
23433
183.1 IPS |
|
|
Style Transfer (SP)
|
100% |
96947
124.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121038
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
113158
146.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17018
628.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17088
631.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13728
506.9 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1139
19.7 IPS |
