Mac Studio (2023)
Geekbench AI Score
4575
Single Precision Score
7193
Half Precision Score
5628
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | tphillips63 |
| Upload Date | October 29 2024 08:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.67 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1453
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.8 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18445
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31185
36.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
23369
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
1840
145.9 IPS |
|
|
Object Detection (HP)
|
97% |
2890
230.0 IPS |
|
|
Object Detection (Q)
|
94% |
2021
161.0 IPS |
|
|
Face Detection (SP)
|
100% |
3698
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
6309
75.0 IPS |
|
|
Face Detection (Q)
|
100% |
3656
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6495
50.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12350
95.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8246
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27469
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42919
55.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33183
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6036
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8137
300.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5000
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4073
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4030
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6548
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6556
113.3 IPS |
