Mac Studio
Geekbench AI Score
3754
Single Precision Score
16140
Half Precision Score
16116
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 03:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.17 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
6508
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
6320
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9713
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10431
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15807
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
70771
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67249
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.7 IPS |
|
|
Object Detection (HP)
|
99% |
7762
617.4 IPS |
|
|
Object Detection (Q)
|
91% |
7288
582.4 IPS |
|
|
Face Detection (SP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
15954
189.6 IPS |
|
|
Face Detection (Q)
|
100% |
14891
176.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5649
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50703
390.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53076
414.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23813
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120489
154.9 IPS |
|
|
Style Transfer (Q)
|
96% |
116642
150.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4197
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24872
918.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27209
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2266
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3689
63.7 IPS |
