Mac Studio (2023)
Geekbench AI Score
3097
Single Precision Score
4794
Half Precision Score
3974
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:41 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1479
275.0 IPS |
|
|
Image Classification (HP)
|
100% |
1820
338.5 IPS |
|
|
Image Classification (Q)
|
99% |
1807
337.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1280
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6410
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
15006
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12710
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1614
128.0 IPS |
|
|
Object Detection (HP)
|
97% |
2246
178.8 IPS |
|
|
Object Detection (Q)
|
94% |
1719
137.0 IPS |
|
|
Face Detection (SP)
|
100% |
3000
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
4435
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
2894
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5548
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8630
66.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4249
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16878
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26884
34.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26934
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4890
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3587
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3708
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1659
28.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4388
75.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4418
76.3 IPS |
