Mac Studio
Geekbench AI Score
13638
Single Precision Score
15258
Half Precision Score
13394
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 22 2025 08:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.14 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5051
939.4 IPS |
|
|
Image Classification (HP)
|
100% |
4777
888.4 IPS |
|
|
Image Classification (Q)
|
96% |
2978
556.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
16225
263.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16394
265.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15345
248.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
94543
110.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
100023
116.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
95066
111.4 IPS |
|
|
Object Detection (SP)
|
100% |
4172
330.9 IPS |
|
|
Object Detection (HP)
|
100% |
5062
401.6 IPS |
|
|
Object Detection (Q)
|
92% |
4055
323.7 IPS |
|
|
Face Detection (SP)
|
100% |
17512
208.1 IPS |
|
|
Face Detection (HP)
|
100% |
23061
274.0 IPS |
|
|
Face Detection (Q)
|
100% |
15086
179.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28929
222.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24414
188.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
26101
203.9 IPS |
|
|
Style Transfer (SP)
|
100% |
158054
203.2 IPS |
|
|
Style Transfer (HP)
|
100% |
181053
232.7 IPS |
|
|
Style Transfer (Q)
|
96% |
175625
226.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18832
695.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19556
722.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17474
645.2 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4088
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4083
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2117
36.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2139
37.0 IPS |
