Mac Studio (2023)
Geekbench AI Score
4543
Single Precision Score
26711
Half Precision Score
27331
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dani4477 |
| Upload Date | May 14 2025 01:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.49 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1467
272.8 IPS |
|
|
Image Classification (HP)
|
100% |
13187
2.45 KIPS |
|
|
Image Classification (Q)
|
96% |
6436
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19628
318.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24459
396.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18656
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
105326
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104301
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1815
143.9 IPS |
|
|
Object Detection (HP)
|
99% |
15660
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17810
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3686
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
35507
421.9 IPS |
|
|
Face Detection (Q)
|
100% |
44693
531.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6258
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86523
666.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
107015
836.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29633
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202350
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
188008
242.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40495
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47977
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4185
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4187
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4478
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4111
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4404
76.1 IPS |
