Mac Studio
Geekbench AI Score
3714
Single Precision Score
6073
Half Precision Score
4914
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 05:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1231
229.0 IPS |
|
|
Image Classification (HP)
|
100% |
1958
364.1 IPS |
|
|
Image Classification (Q)
|
96% |
1437
268.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2549
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15113
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29570
34.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
21156
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2274
181.1 IPS |
|
|
Object Detection (Q)
|
94% |
1740
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
3315
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5341
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3111
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5652
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10384
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7189
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22602
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38857
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30780
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5502
203.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4152
153.3 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
4073
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4071
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3048
52.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5226
90.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5242
90.6 IPS |
