Mac Studio (2023)
Geekbench AI Score
4575
Single Precision Score
7078
Half Precision Score
5525
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | non |
| Upload Date | September 22 2024 10:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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% |
1450
269.7 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.6 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3023
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18667
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31436
36.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
23417
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
97% |
2871
228.5 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
3746
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
6100
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3463
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6441
49.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12086
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8072
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27613
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
42415
54.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32422
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8051
297.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4952
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4956
85.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6495
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6467
111.8 IPS |
