Mac Studio (2023)
Geekbench AI Score
12466
Single Precision Score
12432
Half Precision Score
3525
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | itaki |
| Upload Date | December 02 2024 03:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 14.1.1 (Build 23B81) |
| 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 | 3.65 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1114
207.2 IPS |
|
|
Image Classification (HP)
|
100% |
1067
198.4 IPS |
|
|
Image Classification (Q)
|
97% |
448
83.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
16631
269.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16383
265.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14996
243.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
134030
156.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
136147
158.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
112003
131.3 IPS |
|
|
Object Detection (SP)
|
100% |
5683
450.8 IPS |
|
|
Object Detection (HP)
|
100% |
5568
441.7 IPS |
|
|
Object Detection (Q)
|
91% |
4499
359.4 IPS |
|
|
Face Detection (SP)
|
100% |
30534
362.8 IPS |
|
|
Face Detection (HP)
|
100% |
27540
327.2 IPS |
|
|
Face Detection (Q)
|
100% |
19298
229.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33226
256.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34313
264.4 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
188.2 IPS |
|
|
Style Transfer (SP)
|
100% |
219907
282.7 IPS |
|
|
Style Transfer (HP)
|
100% |
219304
281.9 IPS |
|
|
Style Transfer (Q)
|
96% |
190072
245.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24234
894.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24538
906.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16562
611.6 IPS |
|
|
Text Classification (SP)
|
100% |
597
797.3 IPS |
|
|
Text Classification (HP)
|
100% |
607
810.6 IPS |
|
|
Text Classification (Q)
|
93% |
676
907.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2157
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2136
36.9 IPS |
