Mac Studio (2023)
Geekbench AI Score
4640
Single Precision Score
7239
Half Precision Score
5645
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | l3uzz |
| Upload Date | October 07 2024 11:52 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1459
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
2263
420.9 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3105
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19022
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31115
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23132
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
1882
149.3 IPS |
|
|
Object Detection (HP)
|
97% |
2879
229.2 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3868
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
6554
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
3683
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6551
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12517
96.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8231
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28573
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
43647
56.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33473
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5931
219.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8123
300.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4993
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4016
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5081
87.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6625
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6592
113.9 IPS |
