Mac Studio
Geekbench AI Score
12160
Single Precision Score
13100
Half Precision Score
11083
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Helwar |
| Upload Date | September 28 2024 10:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
4729
879.5 IPS |
|
|
Image Classification (HP)
|
100% |
4641
863.1 IPS |
|
|
Image Classification (Q)
|
97% |
3542
661.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
12132
196.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12255
198.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11650
188.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
81274
94.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
85067
99.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
72928
85.5 IPS |
|
|
Object Detection (SP)
|
100% |
4429
351.3 IPS |
|
|
Object Detection (HP)
|
100% |
4875
386.7 IPS |
|
|
Object Detection (Q)
|
91% |
3943
315.1 IPS |
|
|
Face Detection (SP)
|
100% |
23808
282.9 IPS |
|
|
Face Detection (HP)
|
100% |
24280
288.5 IPS |
|
|
Face Detection (Q)
|
100% |
16741
198.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27732
213.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27286
210.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21480
167.9 IPS |
|
|
Style Transfer (SP)
|
100% |
136269
175.2 IPS |
|
|
Style Transfer (HP)
|
100% |
150591
193.6 IPS |
|
|
Style Transfer (Q)
|
96% |
135961
175.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15727
580.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15886
586.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11396
420.8 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3903
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1084
18.7 IPS |
