Mac Studio
Geekbench AI Score
15226
Single Precision Score
16536
Half Precision Score
15377
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 03:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.16 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5062
941.3 IPS |
|
|
Image Classification (HP)
|
100% |
4833
898.8 IPS |
|
|
Image Classification (Q)
|
96% |
4487
837.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
16288
264.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16374
265.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15295
247.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
94476
110.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
101875
118.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
95017
111.3 IPS |
|
|
Object Detection (SP)
|
100% |
5263
417.5 IPS |
|
|
Object Detection (HP)
|
100% |
5191
411.7 IPS |
|
|
Object Detection (Q)
|
92% |
4815
384.3 IPS |
|
|
Face Detection (SP)
|
100% |
27346
324.9 IPS |
|
|
Face Detection (HP)
|
100% |
27432
326.0 IPS |
|
|
Face Detection (Q)
|
100% |
23918
284.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
29333
226.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29906
230.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
26950
210.5 IPS |
|
|
Style Transfer (SP)
|
100% |
157690
202.7 IPS |
|
|
Style Transfer (HP)
|
100% |
181260
233.0 IPS |
|
|
Style Transfer (Q)
|
96% |
175068
225.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18886
697.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20077
741.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17048
629.5 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3000
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3083
53.3 IPS |
