Mac Studio (2023)
Geekbench AI Score
4581
Single Precision Score
26675
Half Precision Score
27292
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | l3uzz |
| Upload Date | February 02 2025 05:17 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1472
273.8 IPS |
|
|
Image Classification (HP)
|
100% |
13699
2.55 KIPS |
|
|
Image Classification (Q)
|
96% |
6559
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19338
313.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24342
394.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17685
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
105095
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103369
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.8 IPS |
|
|
Object Detection (HP)
|
99% |
15767
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17534
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
35254
418.9 IPS |
|
|
Face Detection (Q)
|
100% |
45735
543.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6576
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85892
661.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
106668
833.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27630
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
203080
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
187076
241.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40175
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48648
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4039
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4023
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4165
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4437
76.7 IPS |
