Mac Studio (2023)
Geekbench AI Score
4588
Single Precision Score
26301
Half Precision Score
29609
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bubeli |
| Upload Date | November 25 2024 05:58 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.47 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.4 IPS |
|
|
Image Classification (HP)
|
100% |
13339
2.48 KIPS |
|
|
Image Classification (Q)
|
96% |
15898
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19325
313.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24472
396.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18308
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
104876
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103570
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
1853
147.0 IPS |
|
|
Object Detection (HP)
|
99% |
15642
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17369
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
35333
419.8 IPS |
|
|
Face Detection (Q)
|
100% |
44972
534.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6452
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85488
658.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
107074
836.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28244
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203482
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
189264
244.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40371
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48150
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4072
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4049
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5039
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4166
72.0 IPS |
