Mac Studio
Geekbench AI Score
12001
Single Precision Score
13444
Half Precision Score
12134
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 13 2026 02:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.17 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4271
794.2 IPS |
|
|
Image Classification (HP)
|
100% |
4035
750.4 IPS |
|
|
Image Classification (Q)
|
96% |
2735
510.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
13926
225.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14109
228.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13755
223.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
81096
94.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
85742
100.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
82083
96.1 IPS |
|
|
Object Detection (SP)
|
100% |
3654
289.9 IPS |
|
|
Object Detection (HP)
|
100% |
4346
344.7 IPS |
|
|
Object Detection (Q)
|
92% |
4131
329.8 IPS |
|
|
Face Detection (SP)
|
100% |
23658
281.1 IPS |
|
|
Face Detection (HP)
|
100% |
24233
287.9 IPS |
|
|
Face Detection (Q)
|
100% |
20260
240.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24940
192.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25921
199.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
23422
183.0 IPS |
|
|
Style Transfer (SP)
|
100% |
142001
182.5 IPS |
|
|
Style Transfer (HP)
|
100% |
156297
200.9 IPS |
|
|
Style Transfer (Q)
|
96% |
151526
195.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15932
588.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16588
612.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14546
537.1 IPS |
|
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3855
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1346
23.3 IPS |
