Mac Studio
Geekbench AI Score
3764
Single Precision Score
15785
Half Precision Score
15675
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | fhlipzero |
| Upload Date | October 20 2025 01:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
6435
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6158
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9663
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10277
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14833
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
70616
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67274
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
99% |
7525
598.6 IPS |
|
|
Object Detection (Q)
|
91% |
7041
562.6 IPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
15222
180.9 IPS |
|
|
Face Detection (Q)
|
100% |
14349
170.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5635
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51181
394.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53036
414.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24498
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
119283
153.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115213
148.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4296
158.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24955
921.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26715
986.5 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3911
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3242
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3263
56.4 IPS |
