Mac Studio
Geekbench AI Score
12473
Single Precision Score
13558
Half Precision Score
12592
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MK500 |
| Upload Date | November 17 2024 12:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4911
913.3 IPS |
|
|
Image Classification (HP)
|
100% |
4762
885.5 IPS |
|
|
Image Classification (Q)
|
97% |
4181
780.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
13422
217.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13531
219.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13868
224.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
93684
109.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
98382
114.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
89417
104.8 IPS |
|
|
Object Detection (SP)
|
100% |
4013
318.3 IPS |
|
|
Object Detection (HP)
|
100% |
3975
315.3 IPS |
|
|
Object Detection (Q)
|
91% |
3588
286.7 IPS |
|
|
Face Detection (SP)
|
100% |
17039
202.5 IPS |
|
|
Face Detection (HP)
|
100% |
19586
232.7 IPS |
|
|
Face Detection (Q)
|
100% |
20005
237.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28293
218.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27996
215.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
24421
190.9 IPS |
|
|
Style Transfer (SP)
|
100% |
154935
199.2 IPS |
|
|
Style Transfer (HP)
|
100% |
180426
231.9 IPS |
|
|
Style Transfer (Q)
|
96% |
164866
212.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18581
686.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18576
685.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15333
566.2 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3893
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1121
19.4 IPS |
