Mac Studio (2023)
Geekbench AI Score
2438
Single Precision Score
12195
Half Precision Score
12932
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gaige |
| Upload Date | August 16 2024 11:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.66 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1105
205.6 IPS |
|
|
Image Classification (HP)
|
100% |
7998
1.49 KIPS |
|
|
Image Classification (Q)
|
99% |
8563
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5125
83.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5138
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16743
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
93207
108.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
88096
103.3 IPS |
|
|
Object Detection (SP)
|
100% |
1182
93.7 IPS |
|
|
Object Detection (HP)
|
99% |
9344
743.3 IPS |
|
|
Object Detection (Q)
|
93% |
9866
787.3 IPS |
|
|
Face Detection (SP)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
11657
138.5 IPS |
|
|
Face Detection (Q)
|
100% |
13411
159.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3900
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55344
426.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
60068
464.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13933
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
144573
185.9 IPS |
|
|
Style Transfer (Q)
|
100% |
145177
186.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3050
112.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20508
757.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27184
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
545
727.4 IPS |
|
|
Text Classification (Q)
|
93% |
556
746.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1664
28.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1956
33.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1936
33.4 IPS |
