Mac Studio
Geekbench AI Score
3764
Single Precision Score
16283
Half Precision Score
16220
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Deeen |
| Upload Date | July 04 2025 05:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1274
236.9 IPS |
|
|
Image Classification (HP)
|
100% |
6606
1.23 KIPS |
|
|
Image Classification (Q)
|
96% |
6326
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9827
159.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10447
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15416
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71020
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66699
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7840
623.7 IPS |
|
|
Object Detection (Q)
|
91% |
7395
590.9 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
16092
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15151
180.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5751
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51261
394.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
54141
423.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24137
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120391
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116603
150.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4308
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25196
930.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27173
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3651
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3780
65.3 IPS |
