Mac Studio (2023)
Geekbench AI Score
16341
Single Precision Score
17550
Half Precision Score
13521
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | non |
| Upload Date | August 16 2024 09:55 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5981
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
6024
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
5350
997.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
16135
261.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16400
265.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
15632
253.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
106274
124.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
110960
129.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
94962
111.2 IPS |
|
|
Object Detection (SP)
|
100% |
6046
479.6 IPS |
|
|
Object Detection (HP)
|
100% |
6186
490.7 IPS |
|
|
Object Detection (Q)
|
91% |
5050
403.6 IPS |
|
|
Face Detection (SP)
|
100% |
31926
379.3 IPS |
|
|
Face Detection (HP)
|
100% |
31805
377.9 IPS |
|
|
Face Detection (Q)
|
100% |
23166
275.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32832
253.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34821
268.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
9107
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
194106
249.5 IPS |
|
|
Style Transfer (HP)
|
100% |
198742
255.5 IPS |
|
|
Style Transfer (Q)
|
100% |
193159
248.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23365
862.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23854
880.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16791
622.1 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3874
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2063
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2004
34.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1921
33.2 IPS |
