Mac Studio (2023)
Geekbench AI Score
4583
Single Precision Score
7171
Half Precision Score
5592
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | peterb123 |
| Upload Date | November 04 2024 10:19 AM |
| Views | 5 |
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 | 3.48 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1470
273.4 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.6 IPS |
|
|
Image Classification (Q)
|
96% |
1646
307.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3023
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19174
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32260
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
23991
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
1870
148.3 IPS |
|
|
Object Detection (HP)
|
97% |
2886
229.8 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3483
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6442
49.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12303
95.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8259
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27326
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41736
53.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32310
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5911
218.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8155
301.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3986
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5019
86.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6629
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6626
114.5 IPS |
