Mac Studio (2023)
Geekbench AI Score
4454
Single Precision Score
23622
Half Precision Score
26324
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | May 10 2025 01:25 AM |
| Views | 5 |
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% |
1466
272.6 IPS |
|
|
Image Classification (HP)
|
100% |
12903
2.40 KIPS |
|
|
Image Classification (Q)
|
99% |
15094
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15649
253.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
15704
254.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17538
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
102348
119.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
98236
115.2 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
99% |
14189
1.13 KIPS |
|
|
Object Detection (Q)
|
91% |
17156
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3436
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
23819
283.0 IPS |
|
|
Face Detection (Q)
|
100% |
36784
437.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6279
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72698
560.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
80866
625.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29300
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
155840
200.3 IPS |
|
|
Style Transfer (Q)
|
100% |
156995
201.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40349
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
48105
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4124
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4101
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4317
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4109
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4342
75.0 IPS |
