Mac Studio (2023)
Geekbench AI Score
4422
Single Precision Score
23574
Half Precision Score
26338
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | May 10 2025 01:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1457
270.9 IPS |
|
|
Image Classification (HP)
|
100% |
13124
2.44 KIPS |
|
|
Image Classification (Q)
|
99% |
15379
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15633
253.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
15686
254.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18071
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102127
119.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
98177
115.2 IPS |
|
|
Object Detection (SP)
|
100% |
1811
143.6 IPS |
|
|
Object Detection (HP)
|
99% |
14114
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
17167
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3377
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
23736
282.0 IPS |
|
|
Face Detection (Q)
|
100% |
36678
435.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6254
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71988
554.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
80354
621.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28225
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
155258
199.6 IPS |
|
|
Style Transfer (Q)
|
100% |
156399
201.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5978
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40084
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
47485
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4106
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4295
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4098
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4397
76.0 IPS |
