Mac Studio
Geekbench AI Score
13618
Single Precision Score
15106
Half Precision Score
14140
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | tlgjaymz |
| Upload Date | January 25 2026 03:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.16 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4573
850.5 IPS |
|
|
Image Classification (HP)
|
100% |
4519
840.5 IPS |
|
|
Image Classification (Q)
|
96% |
4190
782.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
14274
231.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14447
234.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13622
220.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
80887
94.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
88249
103.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
83722
98.1 IPS |
|
|
Object Detection (SP)
|
100% |
4846
384.4 IPS |
|
|
Object Detection (HP)
|
100% |
4883
387.3 IPS |
|
|
Object Detection (Q)
|
92% |
4536
362.1 IPS |
|
|
Face Detection (SP)
|
100% |
23882
283.8 IPS |
|
|
Face Detection (HP)
|
100% |
24204
287.6 IPS |
|
|
Face Detection (Q)
|
100% |
21231
252.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27107
208.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
28587
220.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
25713
200.8 IPS |
|
|
Style Transfer (SP)
|
100% |
134554
173.0 IPS |
|
|
Style Transfer (HP)
|
100% |
149882
192.7 IPS |
|
|
Style Transfer (Q)
|
96% |
145132
187.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14959
552.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17310
639.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15483
571.7 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
4055
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3961
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2912
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3022
52.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3035
52.4 IPS |
