Mac Studio (2023)
Geekbench AI Score
4163
Single Precision Score
6688
Half Precision Score
5253
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Toda |
| Upload Date | September 08 2025 10:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
2161
401.9 IPS |
|
|
Image Classification (Q)
|
96% |
1523
284.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2794
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16799
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30421
35.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
22992
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
97% |
2588
206.0 IPS |
|
|
Object Detection (Q)
|
94% |
1868
148.9 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
5711
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3186
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5721
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9788
75.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7128
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26610
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
43097
55.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33231
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5032
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7331
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4555
168.2 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3875
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3849
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4174
71.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6514
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6621
114.4 IPS |
