Mac Studio
Geekbench AI Score
3718
Single Precision Score
5991
Half Precision Score
4823
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kentdg |
| Upload Date | November 02 2025 07:27 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.20 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1218
226.6 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.2 IPS |
|
|
Image Classification (Q)
|
96% |
1398
261.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2505
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15728
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29427
34.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21354
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.2 IPS |
|
|
Object Detection (HP)
|
97% |
2147
170.9 IPS |
|
|
Object Detection (Q)
|
94% |
1606
128.0 IPS |
|
|
Face Detection (SP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
5248
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
3068
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5538
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9938
76.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7035
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24523
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39962
51.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31109
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4032
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5577
205.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4060
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3999
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3161
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5173
89.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5206
90.0 IPS |
