Mac Studio (2023)
Geekbench AI Score
16388
Single Precision Score
17570
Half Precision Score
16036
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | December 02 2024 06:32 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 3.46 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6013
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6064
1.13 KIPS |
|
|
Image Classification (Q)
|
97% |
5388
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16126
261.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16452
266.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16762
271.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
106193
123.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
110855
129.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102324
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
5899
467.9 IPS |
|
|
Object Detection (HP)
|
100% |
5946
471.7 IPS |
|
|
Object Detection (Q)
|
91% |
5501
439.5 IPS |
|
|
Face Detection (SP)
|
100% |
31778
377.6 IPS |
|
|
Face Detection (HP)
|
100% |
32244
383.1 IPS |
|
|
Face Detection (Q)
|
100% |
25133
298.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33109
255.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34824
268.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
30462
238.1 IPS |
|
|
Style Transfer (SP)
|
100% |
194887
250.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200294
257.5 IPS |
|
|
Style Transfer (Q)
|
96% |
185994
240.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23389
863.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23927
883.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19585
723.2 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3875
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2141
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2030
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2047
35.4 IPS |
