Mac Studio
Geekbench AI Score
3796
Single Precision Score
16304
Half Precision Score
16166
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 12 2025 11:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac Studio |
| Model ID | Mac13,2 |
| Motherboard | Mac13,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Ultra |
| Topology | 1 Processor, 20 Cores |
| Identifier | Apple M1 Ultra |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
6599
1.23 KIPS |
|
|
Image Classification (Q)
|
96% |
6322
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9870
160.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10557
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16104
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
71189
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67516
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (HP)
|
99% |
7875
626.5 IPS |
|
|
Object Detection (Q)
|
91% |
7391
590.6 IPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
16090
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14502
172.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5702
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50849
391.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
52268
408.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23983
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120742
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116428
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4322
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25412
938.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27628
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3646
62.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3799
65.6 IPS |
