Mac Studio (2023)
Geekbench AI Score
13196
Single Precision Score
13082
Half Precision Score
11481
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | August 15 2024 05:15 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.64 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1110
206.4 IPS |
|
|
Image Classification (HP)
|
100% |
1006
187.1 IPS |
|
|
Image Classification (Q)
|
99% |
1036
193.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
16694
270.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17181
278.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
16169
262.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
135045
157.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
138935
162.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
118026
138.3 IPS |
|
|
Object Detection (SP)
|
100% |
6012
476.8 IPS |
|
|
Object Detection (HP)
|
100% |
6077
482.1 IPS |
|
|
Object Detection (Q)
|
92% |
4964
396.2 IPS |
|
|
Face Detection (SP)
|
100% |
29863
354.8 IPS |
|
|
Face Detection (HP)
|
100% |
30535
362.8 IPS |
|
|
Face Detection (Q)
|
100% |
22479
267.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
34543
266.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
36356
280.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
36193
279.8 IPS |
|
|
Style Transfer (SP)
|
100% |
221701
285.0 IPS |
|
|
Style Transfer (HP)
|
100% |
226689
291.4 IPS |
|
|
Style Transfer (Q)
|
100% |
209984
269.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25501
941.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25935
957.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18218
675.0 IPS |
|
|
Text Classification (SP)
|
100% |
938
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
739
986.0 IPS |
|
|
Text Classification (Q)
|
93% |
624
837.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1946
33.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2086
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2089
36.1 IPS |
