Mac Studio
Geekbench AI Score
12990
Single Precision Score
13893
Half Precision Score
13053
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | March 25 2025 01:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.22 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4686
871.5 IPS |
|
|
Image Classification (HP)
|
100% |
4532
842.9 IPS |
|
|
Image Classification (Q)
|
96% |
4181
780.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
14199
230.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14238
230.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13501
218.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
81054
94.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
84310
98.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
79756
93.4 IPS |
|
|
Object Detection (SP)
|
100% |
4953
392.9 IPS |
|
|
Object Detection (HP)
|
100% |
5006
397.1 IPS |
|
|
Object Detection (Q)
|
92% |
4666
372.5 IPS |
|
|
Face Detection (SP)
|
100% |
23479
279.0 IPS |
|
|
Face Detection (HP)
|
100% |
24086
286.2 IPS |
|
|
Face Detection (Q)
|
100% |
20832
247.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26952
207.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27266
210.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
25648
200.5 IPS |
|
|
Style Transfer (SP)
|
100% |
138762
178.4 IPS |
|
|
Style Transfer (HP)
|
100% |
149654
192.4 IPS |
|
|
Style Transfer (Q)
|
96% |
144971
187.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15544
574.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15772
582.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13508
498.8 IPS |
|
|
Text Classification (SP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3682
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1711
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1719
29.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1775
30.7 IPS |
