Mac Studio (2023)
Geekbench AI Score
4598
Single Precision Score
20732
Half Precision Score
21414
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | non |
| Upload Date | August 31 2024 11:46 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 3.47 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1462
272.0 IPS |
|
|
Image Classification (HP)
|
100% |
12730
2.37 KIPS |
|
|
Image Classification (Q)
|
99% |
7451
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9307
150.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
9293
150.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18651
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
102993
120.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
97994
114.9 IPS |
|
|
Object Detection (SP)
|
100% |
1840
146.0 IPS |
|
|
Object Detection (HP)
|
99% |
14047
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
17224
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3826
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
23859
283.5 IPS |
|
|
Face Detection (Q)
|
100% |
34884
414.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6505
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73495
566.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
81939
633.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28428
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
156891
201.7 IPS |
|
|
Style Transfer (Q)
|
100% |
159851
205.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41267
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
48631
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3885
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4943
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1952
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2010
34.7 IPS |
