Mac Studio
Geekbench AI Score
3770
Single Precision Score
6107
Half Precision Score
4916
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dirkjumpertz |
| Upload Date | November 05 2025 02:11 PM |
| Views | 2 |
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% |
1241
230.8 IPS |
|
|
Image Classification (HP)
|
100% |
1969
366.2 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2542
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15847
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29895
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22163
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
97% |
2187
174.1 IPS |
|
|
Object Detection (Q)
|
94% |
1652
131.7 IPS |
|
|
Face Detection (SP)
|
100% |
3294
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5315
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3098
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5622
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10260
79.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7167
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25342
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40275
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30752
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4124
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5617
207.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4175
154.2 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4114
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3060
52.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5230
90.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5216
90.1 IPS |
