Mac Studio (2023)
Geekbench AI Score
16736
Single Precision Score
17926
Half Precision Score
16190
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bubeli |
| Upload Date | November 25 2024 05:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.45 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6350
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6237
1.16 KIPS |
|
|
Image Classification (Q)
|
97% |
5584
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16293
264.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16588
268.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16968
275.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
106928
124.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
111737
130.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102927
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
6266
497.0 IPS |
|
|
Object Detection (HP)
|
100% |
6218
493.3 IPS |
|
|
Object Detection (Q)
|
91% |
5593
446.9 IPS |
|
|
Face Detection (SP)
|
100% |
32687
388.4 IPS |
|
|
Face Detection (HP)
|
100% |
32480
385.9 IPS |
|
|
Face Detection (Q)
|
100% |
25455
302.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33204
255.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35017
269.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
30156
235.7 IPS |
|
|
Style Transfer (SP)
|
100% |
195244
251.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201709
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
186812
241.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24321
898.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24798
915.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19973
737.5 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4036
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1963
33.9 IPS |
