Mac Studio
Geekbench AI Score
12042
Single Precision Score
12922
Half Precision Score
11667
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sellen |
| Upload Date | March 05 2025 10:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac Studio |
| Model ID | Mac13,2 |
| Motherboard | Mac13,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Ultra |
| Topology | 1 Processor, 20 Cores |
| Identifier | Apple M1 Ultra |
| Base Frequency | 3.15 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5047
938.6 IPS |
|
|
Image Classification (HP)
|
100% |
4614
858.0 IPS |
|
|
Image Classification (Q)
|
97% |
3926
732.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
12278
199.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12363
200.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12357
200.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
81530
95.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
84916
99.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
77781
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
4433
351.6 IPS |
|
|
Object Detection (HP)
|
100% |
4929
391.0 IPS |
|
|
Object Detection (Q)
|
91% |
4390
350.8 IPS |
|
|
Face Detection (SP)
|
100% |
23979
284.9 IPS |
|
|
Face Detection (HP)
|
100% |
23825
283.1 IPS |
|
|
Face Detection (Q)
|
100% |
18515
220.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27204
209.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27251
210.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
23529
183.9 IPS |
|
|
Style Transfer (SP)
|
100% |
137030
176.2 IPS |
|
|
Style Transfer (HP)
|
100% |
150287
193.2 IPS |
|
|
Style Transfer (Q)
|
96% |
139692
180.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15567
574.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15459
570.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12524
462.4 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3898
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
950
16.4 IPS |
