Mac Studio M1 Ultra - Neural Mac Studio
Geekbench AI Score
3779
Single Precision Score
16260
Half Precision Score
16090
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | thomasS |
| Upload Date | March 13 2026 03:04 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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% |
1255
233.5 IPS |
|
|
Image Classification (HP)
|
100% |
6629
1.23 KIPS |
|
|
Image Classification (Q)
|
96% |
6365
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9786
158.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10456
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16176
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70564
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67640
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
7846
624.1 IPS |
|
|
Object Detection (Q)
|
91% |
7440
594.5 IPS |
|
|
Face Detection (SP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
16102
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
13452
159.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5730
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51169
394.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
54063
422.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24078
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120157
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
117133
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4253
157.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25359
936.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27407
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3912
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3803
65.7 IPS |
