Mac Studio (2023)
Geekbench AI Score
4513
Single Precision Score
23011
Half Precision Score
25407
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | non |
| Upload Date | September 22 2024 10:14 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
12924
2.40 KIPS |
|
|
Image Classification (Q)
|
96% |
16304
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10204
165.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11419
185.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18189
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
104917
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103131
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
99% |
15384
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16938
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3690
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
35381
420.4 IPS |
|
|
Face Detection (Q)
|
100% |
45527
541.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6386
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86152
663.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
106801
834.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26951
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202499
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189068
244.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5898
217.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39905
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48411
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3845
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2022
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2014
34.8 IPS |
